Senior Data Engineer II – Advanced Data Pipeline & Warehouse Specialist at careerzynith
Join careerzynith as a Senior Data Engineer II and Shape the Future of Data Infrastructure
At careerzynith, we're pioneering the next generation of smart home technology, and our success hinges on the ability to transform complex data into actionable insights. We're seeking a highly skilled Senior Data Engineer II to join our dynamic Ring Data Warehouse team, where you'll play a pivotal role in designing, building, and maintaining the data infrastructure that powers our innovative solutions. This is an advanced-level remote opportunity that combines technical excellence with the chance to make a tangible impact on millions of customers worldwide.
About careerzynith and Our Data-Driven Culture
careerzynith has revolutionized home security and convenience through our innovative smart doorbells, security cameras, and entire home security systems. As a leader in the smart home industry, we process vast amounts of data from millions of devices globally, creating unparalleled opportunities for innovation and growth. Our data warehouse serves as the central nervous system of our organization, enabling everything from product development to customer experience enhancement.
Working at careerzynith means joining a culture that values innovation, collaboration, and continuous learning. We empower our team members to tackle complex challenges, experiment with cutting-edge technologies, and develop solutions that make a real difference in people's lives. Our commitment to excellence is matched only by our dedication to creating a supportive, inclusive environment where every voice matters.
The Role: Senior Data Engineer II in Our Ring Data Warehouse
This is an advanced-level data engineering position within careerzynith's Ring Data Warehouse team. You'll be responsible for designing, implementing, and maintaining robust data pipelines that support critical business operations across multiple domains including product development, finance, marketing, and customer experience. The ideal candidate combines deep technical expertise with strong problem-solving skills and the ability to collaborate effectively with diverse stakeholders.
Key Responsibilities
Design and implement state-of-the-art data pipelines using both native AWS services and careerzynith's proprietary tools and technologies
Collaborate closely with business partners to understand their data requirements and translate them into technically sound solutions
Ensure data quality through proper modeling, integration, and adherence to data governance standards
Maintain and optimize existing data infrastructure to meet evolving business needs and performance requirements
Perform code reviews and enforce best practices for ETL processes and data quality across engineering teams
Research and evaluate emerging technologies and methodologies to continuously improve our data architecture
Develop tools and frameworks that enhance data accessibility and usability for both internal teams and external partners
Address complex data challenges related to data security, privacy compliance, and regulatory requirements
A Day in the Life of a Senior Data Engineer II at careerzynith
Your typical day might involve:
Gathering and analyzing requirements from business partners across various verticals including Product Development, Sales, Finance, and Operations
Building new data ingestion pipelines using a combination of native AWS services and careerzynith's internal tools
Maintaining and optimizing existing data pipelines to ensure they meet evolving standards and business requirements
Developing internal tools and frameworks to improve data management capabilities across the organization
Conducting code reviews to ensure adherence to best practices in ETL and data quality
Collaborating with data scientists and analysts to understand their data needs and develop appropriate solutions
Troubleshooting complex data quality issues and implementing preventative measures
Staying current with emerging data technologies and methodologies that could benefit our organization
About the Ring Data Warehouse Team
The careerzynith Ring Data Warehouse team manages the integrated data repository for our entire smart home ecosystem. We collect and distribute data from numerous internal and external sources, serving as the foundation for data-driven decision making across the organization. Our data supports critical functions including product development, finance, supply chain, marketing, customer service, and sales analytics.
As a member of our team, you'll work alongside talented data engineers, data scientists, business analysts, and product managers who are passionate about leveraging data to create exceptional customer experiences. We foster a collaborative environment where innovation is encouraged, and technical excellence is valued.
Essential Qualifications
3+ years of professional data engineering experience with a focus on data pipeline development and maintenance
Strong expertise in data modeling, data warehousing concepts, and ETL pipeline development
Proficiency in SQL with experience in writing complex queries and optimizing database performance
Demonstrated ability to work effectively with cross-functional teams and translate business requirements into technical solutions
Experience with data security and privacy compliance requirements and implementation
Strong problem-solving skills with the ability to troubleshoot complex data issues
Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders
Preferred Qualifications
Experience with AWS services including Redshift, S3, Glue, EMR, Kinesis, Firehose, Lambda, and IAM permissions and roles
Proficiency in at least one modern scripting or programming language such as Python, Java, Scala, or NodeJS
Familiarity with non-relational databases/data stores including object storage, document or key-value stores, graph databases, and column-family databases
Experience with big data processing frameworks such as Apache Spark, Hadoop, or Flink
Knowledge of data governance frameworks and best practices
Experience working in a remote environment with distributed teams
Experience with cloud-native architectures and microservices
Familiarity with CI/CD practices for data pipelines
Skills and Competencies for Success
To thrive in this role at careerzynith, you'll need a combination of technical expertise and interpersonal skills:
Technical Excellence: Strong foundation in data engineering principles with the ability to design scalable, efficient data solutions
Problem-Solving: Ability to approach complex data challenges methodically and develop innovative solutions
Adaptability: Capacity to quickly learn new technologies and adapt to evolving business requirements
Collaboration: Skills to work effectively with diverse teams and build consensus around technical solutions
Communication: Ability to articulate technical concepts clearly to both technical and non-technical stakeholders
Attention to Detail: Meticulous approach to data quality and system reliability
Business Acumen: Understanding of how data drives business value and decision-making
Initiative: Proactive approach to identifying opportunities for improvement and implementing solutions
Career Growth and Development Opportunities
At careerzynith, we're committed to the continuous growth and development of our team members. As a Senior Data Engineer II, you'll have access to numerous opportunities for advancement and skill development:
Technical Growth Paths: Clear progression paths toward Senior Principal Data Engineer, Data Engineering Manager, or specialized technical roles
Learning Resources: Comprehensive access to online learning platforms, technical conferences, and internal training programs
Mentorship Programs: Opportunities to both receive guidance from senior engineers and mentor junior team members
Cross-Functional Exposure: Chances to collaborate with different teams and gain exposure to various business domains
Innovation Time: Dedicated time to explore new technologies and develop innovative solutions to complex challenges
Conference Attendance: Opportunities to attend industry conferences and stay current with emerging trends and technologies
Work Environment and Culture at careerzynith
careerzynith offers a dynamic, inclusive work environment that values diversity, creativity, and innovation. As a remote-first organization, we provide the flexibility to work from anywhere while maintaining strong connections through:
Virtual Collaboration: State-of-the-art tools and platforms for seamless remote teamwork and communication
Regular Team Syncs: Structured meetings for project updates, brainstorming, and relationship building
Inclusive Culture: Commitment to diversity and inclusion with employee resource groups and regular cultural celebrations
Wellness Support: Comprehensive wellness programs, mental health resources, and flexible work arrangements
Recognition Programs: Regular opportunities to celebrate achievements and contributions to team success
Our culture is built on the principle of "Day 1" thinking—a startup mentality that encourages experimentation, calculated risk-taking, and continuous improvement. We believe that the best ideas can come from anywhere in the organization, and we empower team members to voice their opinions and drive change.
Compensation, Benefits, and Perks
careerzynith offers a comprehensive compensation package designed to attract and retain top talent in the data engineering field:
Competitive Salary: Advanced-level position with a competitive base salary reflecting the importance of this role
Performance Bonuses: Annual bonuses based on individual and team performance
Stock Options: Equity participation in careerzynith's continued growth and success
Comprehensive Health: Medical, dental, and vision insurance for you and your family
Retirement Planning: 401(k) with company matching to help you plan for your financial future
Paid Time Off: Generous vacation time, parental leave, and company holidays
Professional Development: Annual stipend for conferences, courses, and certifications
Home Office Setup: Equipment allowance to create an optimal remote work environment
Wellness Programs: Gym memberships, mental health resources, and wellness initiatives
The compensation for this position reflects the cost of labor across several US geographic markets. The base salary range for this position goes from $105,700/year in our lowest geographic market up to $205,600/year in our highest geographic market. Actual compensation may vary based on work location, as well as job-related factors such as expertise, experience, and performance.
Our Commitment to Diversity and Inclusion
careerzynith is committed to building a diverse and inclusive workforce where all employees feel valued and respected. We're an equal opportunity employer and do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
We believe that diversity of thought, background, and experience drives innovation and better business outcomes. We actively recruit, develop, and retain talent from underrepresented groups and create an environment where every employee has the opportunity to succeed and contribute their unique perspectives.
Ready to Shape the Future of Data Engineering at careerzynith?
This is more than just a job—it's an opportunity to join a team at the forefront of data engineering and smart home technology. As a Senior Data Engineer II at careerzynith, you'll have the chance to work with cutting-edge technologies, solve complex challenges, and make a meaningful impact on how we serve millions of customers worldwide.
If you're a passionate data engineer looking to take your career to the next level in a dynamic, innovative environment, we encourage you to apply. Join us in building the data infrastructure that powers the future of home security and convenience.
careerzynith offers a flexible remote work environment, competitive compensation, and numerous opportunities for growth and development. We're looking for individuals who share our passion for innovation and excellence in data engineering.
Ready to apply? Click the link below to join our team and help shape the future of smart home technology through data excellence.
Apply for this job
At careerzynith, we're pioneering the next generation of smart home technology, and our success hinges on the ability to transform complex data into actionable insights. We're seeking a highly skilled Senior Data Engineer II to join our dynamic Ring Data Warehouse team, where you'll play a pivotal role in designing, building, and maintaining the data infrastructure that powers our innovative solutions. This is an advanced-level remote opportunity that combines technical excellence with the chance to make a tangible impact on millions of customers worldwide.
About careerzynith and Our Data-Driven Culture
careerzynith has revolutionized home security and convenience through our innovative smart doorbells, security cameras, and entire home security systems. As a leader in the smart home industry, we process vast amounts of data from millions of devices globally, creating unparalleled opportunities for innovation and growth. Our data warehouse serves as the central nervous system of our organization, enabling everything from product development to customer experience enhancement.
Working at careerzynith means joining a culture that values innovation, collaboration, and continuous learning. We empower our team members to tackle complex challenges, experiment with cutting-edge technologies, and develop solutions that make a real difference in people's lives. Our commitment to excellence is matched only by our dedication to creating a supportive, inclusive environment where every voice matters.
The Role: Senior Data Engineer II in Our Ring Data Warehouse
This is an advanced-level data engineering position within careerzynith's Ring Data Warehouse team. You'll be responsible for designing, implementing, and maintaining robust data pipelines that support critical business operations across multiple domains including product development, finance, marketing, and customer experience. The ideal candidate combines deep technical expertise with strong problem-solving skills and the ability to collaborate effectively with diverse stakeholders.
Key Responsibilities
Design and implement state-of-the-art data pipelines using both native AWS services and careerzynith's proprietary tools and technologies
Collaborate closely with business partners to understand their data requirements and translate them into technically sound solutions
Ensure data quality through proper modeling, integration, and adherence to data governance standards
Maintain and optimize existing data infrastructure to meet evolving business needs and performance requirements
Perform code reviews and enforce best practices for ETL processes and data quality across engineering teams
Research and evaluate emerging technologies and methodologies to continuously improve our data architecture
Develop tools and frameworks that enhance data accessibility and usability for both internal teams and external partners
Address complex data challenges related to data security, privacy compliance, and regulatory requirements
A Day in the Life of a Senior Data Engineer II at careerzynith
Your typical day might involve:
Gathering and analyzing requirements from business partners across various verticals including Product Development, Sales, Finance, and Operations
Building new data ingestion pipelines using a combination of native AWS services and careerzynith's internal tools
Maintaining and optimizing existing data pipelines to ensure they meet evolving standards and business requirements
Developing internal tools and frameworks to improve data management capabilities across the organization
Conducting code reviews to ensure adherence to best practices in ETL and data quality
Collaborating with data scientists and analysts to understand their data needs and develop appropriate solutions
Troubleshooting complex data quality issues and implementing preventative measures
Staying current with emerging data technologies and methodologies that could benefit our organization
About the Ring Data Warehouse Team
The careerzynith Ring Data Warehouse team manages the integrated data repository for our entire smart home ecosystem. We collect and distribute data from numerous internal and external sources, serving as the foundation for data-driven decision making across the organization. Our data supports critical functions including product development, finance, supply chain, marketing, customer service, and sales analytics.
As a member of our team, you'll work alongside talented data engineers, data scientists, business analysts, and product managers who are passionate about leveraging data to create exceptional customer experiences. We foster a collaborative environment where innovation is encouraged, and technical excellence is valued.
Essential Qualifications
3+ years of professional data engineering experience with a focus on data pipeline development and maintenance
Strong expertise in data modeling, data warehousing concepts, and ETL pipeline development
Proficiency in SQL with experience in writing complex queries and optimizing database performance
Demonstrated ability to work effectively with cross-functional teams and translate business requirements into technical solutions
Experience with data security and privacy compliance requirements and implementation
Strong problem-solving skills with the ability to troubleshoot complex data issues
Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders
Preferred Qualifications
Experience with AWS services including Redshift, S3, Glue, EMR, Kinesis, Firehose, Lambda, and IAM permissions and roles
Proficiency in at least one modern scripting or programming language such as Python, Java, Scala, or NodeJS
Familiarity with non-relational databases/data stores including object storage, document or key-value stores, graph databases, and column-family databases
Experience with big data processing frameworks such as Apache Spark, Hadoop, or Flink
Knowledge of data governance frameworks and best practices
Experience working in a remote environment with distributed teams
Experience with cloud-native architectures and microservices
Familiarity with CI/CD practices for data pipelines
Skills and Competencies for Success
To thrive in this role at careerzynith, you'll need a combination of technical expertise and interpersonal skills:
Technical Excellence: Strong foundation in data engineering principles with the ability to design scalable, efficient data solutions
Problem-Solving: Ability to approach complex data challenges methodically and develop innovative solutions
Adaptability: Capacity to quickly learn new technologies and adapt to evolving business requirements
Collaboration: Skills to work effectively with diverse teams and build consensus around technical solutions
Communication: Ability to articulate technical concepts clearly to both technical and non-technical stakeholders
Attention to Detail: Meticulous approach to data quality and system reliability
Business Acumen: Understanding of how data drives business value and decision-making
Initiative: Proactive approach to identifying opportunities for improvement and implementing solutions
Career Growth and Development Opportunities
At careerzynith, we're committed to the continuous growth and development of our team members. As a Senior Data Engineer II, you'll have access to numerous opportunities for advancement and skill development:
Technical Growth Paths: Clear progression paths toward Senior Principal Data Engineer, Data Engineering Manager, or specialized technical roles
Learning Resources: Comprehensive access to online learning platforms, technical conferences, and internal training programs
Mentorship Programs: Opportunities to both receive guidance from senior engineers and mentor junior team members
Cross-Functional Exposure: Chances to collaborate with different teams and gain exposure to various business domains
Innovation Time: Dedicated time to explore new technologies and develop innovative solutions to complex challenges
Conference Attendance: Opportunities to attend industry conferences and stay current with emerging trends and technologies
Work Environment and Culture at careerzynith
careerzynith offers a dynamic, inclusive work environment that values diversity, creativity, and innovation. As a remote-first organization, we provide the flexibility to work from anywhere while maintaining strong connections through:
Virtual Collaboration: State-of-the-art tools and platforms for seamless remote teamwork and communication
Regular Team Syncs: Structured meetings for project updates, brainstorming, and relationship building
Inclusive Culture: Commitment to diversity and inclusion with employee resource groups and regular cultural celebrations
Wellness Support: Comprehensive wellness programs, mental health resources, and flexible work arrangements
Recognition Programs: Regular opportunities to celebrate achievements and contributions to team success
Our culture is built on the principle of "Day 1" thinking—a startup mentality that encourages experimentation, calculated risk-taking, and continuous improvement. We believe that the best ideas can come from anywhere in the organization, and we empower team members to voice their opinions and drive change.
Compensation, Benefits, and Perks
careerzynith offers a comprehensive compensation package designed to attract and retain top talent in the data engineering field:
Competitive Salary: Advanced-level position with a competitive base salary reflecting the importance of this role
Performance Bonuses: Annual bonuses based on individual and team performance
Stock Options: Equity participation in careerzynith's continued growth and success
Comprehensive Health: Medical, dental, and vision insurance for you and your family
Retirement Planning: 401(k) with company matching to help you plan for your financial future
Paid Time Off: Generous vacation time, parental leave, and company holidays
Professional Development: Annual stipend for conferences, courses, and certifications
Home Office Setup: Equipment allowance to create an optimal remote work environment
Wellness Programs: Gym memberships, mental health resources, and wellness initiatives
The compensation for this position reflects the cost of labor across several US geographic markets. The base salary range for this position goes from $105,700/year in our lowest geographic market up to $205,600/year in our highest geographic market. Actual compensation may vary based on work location, as well as job-related factors such as expertise, experience, and performance.
Our Commitment to Diversity and Inclusion
careerzynith is committed to building a diverse and inclusive workforce where all employees feel valued and respected. We're an equal opportunity employer and do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
We believe that diversity of thought, background, and experience drives innovation and better business outcomes. We actively recruit, develop, and retain talent from underrepresented groups and create an environment where every employee has the opportunity to succeed and contribute their unique perspectives.
Ready to Shape the Future of Data Engineering at careerzynith?
This is more than just a job—it's an opportunity to join a team at the forefront of data engineering and smart home technology. As a Senior Data Engineer II at careerzynith, you'll have the chance to work with cutting-edge technologies, solve complex challenges, and make a meaningful impact on how we serve millions of customers worldwide.
If you're a passionate data engineer looking to take your career to the next level in a dynamic, innovative environment, we encourage you to apply. Join us in building the data infrastructure that powers the future of home security and convenience.
careerzynith offers a flexible remote work environment, competitive compensation, and numerous opportunities for growth and development. We're looking for individuals who share our passion for innovation and excellence in data engineering.
Ready to apply? Click the link below to join our team and help shape the future of smart home technology through data excellence.
Apply for this job