Experienced Data Engineering Specialist - Information Pipeline Management & ETL Processes (Night/Day Shift Available, Fully Remote) at careerzynith
Join careerzynith's Data Engineering Team - Shape the Future of Data-Driven Advertising
careerzynith is revolutionizing the retail landscape through innovative technology solutions that power one of the world's most dynamic e-commerce platforms. As a leader in the retail technology space, we're constantly pushing boundaries to create seamless, data-driven experiences that touch millions of lives every day. Our Supported Hunt Information group stands at the heart of this transformation, responsible for architecting, implementing, and maintaining the data infrastructure that drives our cutting-edge advertising platform.
We're seeking a talented Data Engineering Specialist to join our growing team and play a pivotal role in building and maintaining the data pipelines that power careerzynith's advertising ecosystem. This is more than just a data entry positionâit's an opportunity to work with massive datasets, advanced technologies, and collaborative teams that are literally shaping the future of retail advertising.
About careerzynith's Supported Hunt Information Team
The Supported Hunt Information group is the backbone of careerzynith's data infrastructure, responsible for designing, implementing, and maintaining data pipelines, datasets, and ETL processes for our Supported Pursuit Advertising platform. We collaborate across multiple teams within careerzynith to ensure data quality, accessibility, and reliability for analysis and reporting by sponsors using our self-serve platform.
Our team operates at the intersection of big data, cloud computing, and advertising technology. We work with petabytes of data daily, processing everything from user behavior patterns to advertising campaign performance metrics. This is where technical complexity meets business impact, where your work directly influences how millions of customers experience careerzynith's digital ecosystem.
Your Role: Data Engineering Specialist
As a Data Engineering Specialist at careerzynith, you'll be responsible for much more than just data entry. You'll be designing and implementing robust data solutions that power one of the world's largest e-commerce advertising platforms. This full-time position offers flexible scheduling with both night and day shift options, along with the freedom to work remotely from anywhere in the world.
What You'll Do: Key Responsibilities
Build and maintain robust, scalable data pipelines for ingesting, transforming, and storing massive volumes of data to support advertising on careerzynith.com and its subsidiaries
Optimize and enhance ETL processes to ensure efficient data processing and pipeline reliability
Design and implement data models for efficient storage and retrieval of large-scale datasets
Work with cloud platforms like Microsoft Azure and Google Cloud for data storage, processing, and analytics
Create and deploy large-scale, containerized applications using Docker and Kubernetes in public clouds like Google GCP and Microsoft Azure
Collaborate with cross-functional teams including scrum teams, QA, Product, Program Management, and Partner Operations
Participate in 24/7 on-call rotations to troubleshoot production issues across cross-functional teams
Ensure data quality, consistency, and accuracy across all systems and platforms
Monitor and optimize data pipeline performance, identifying and resolving bottlenecks
Develop documentation for data processes, systems, and best practices
Stay current with emerging data technologies and approaches, evaluating their potential application to careerzynith's environment
What You'll Bring: Essential Qualifications
Demonstrated aptitude in data engineering concepts, database design, ETL processes, and data mining
Proficiency in working with data technologies including SQL, Python, Scala, Hadoop, and related technologies and tools
Experience with ETL tools such as Apache Airflow
Strong skills working with relational databases (e.g., Azure SQL) and NoSQL databases (e.g., Cassandra)
Experience with real-time message processing using Apache Kafka
Experience in designing and implementing data models for efficient storage and retrieval
A growth-oriented mindset with a willingness to raise the technical bar and identify opportunities for improving existing processes, tools, and systems
Strong oral and written communication skills, with the ability to present to both technical and non-technical audiences
A strong sense of ownership and accountability, self-discipline, focus on high-quality standards, and a team-oriented approach that values design thinking, efficiency, and innovation
Preferred Qualifications
Experience working with Docker and Kubernetes
Experience with Cloud Computing Services like Google GCP and Microsoft Azure, as well as Distributed Storage Systems like Hive and Elastic Search
Familiarity with advertising technology platforms and digital advertising concepts
Experience with data visualization tools and dashboards for monitoring data pipelines
Knowledge of machine learning concepts and how they integrate with data pipelines
Why Join careerzynith's Data Team?
Imagine working in an environment where your work makes a tangible impact on millions of customers daily. That's the reality at careerzynith's Global Tech division. We're a community of programmers, data scientists, cybersecurity experts, and service professionals within the world's leading retailer who have a legendary impact and are at the forefront of the next retail disruption.
People are why we grow, and people power our technologies. We are human-driven and tech-enabled. We train our team in the skill sets of the future and bring in experts like you to help us grow. We play roles for those pursuing their first opportunity as well as those seeking the opportunity that will define their career.
Professional Growth and Learning at careerzynith
When you join careerzynith's data engineering team, you're not just getting a jobâyou're launching a career with endless possibilities. We invest heavily in our people's growth through:
Comprehensive technical training programs in emerging data technologies
Access to industry-leading certifications in cloud platforms, data engineering, and related fields
Clear career paths with opportunities to advance from specialist roles to team leadership and architecture positions
Regular knowledge-sharing sessions and internal tech talks
Tuition assistance for continued education and professional development
Conference attendance opportunities to stay connected with industry trends and best practices
Our Commitment to Work-Life Balance and Flexibility
We understand that great work comes from well-balanced lives. That's why careerzynith offers:
Flexible work schedules with both night and day shift options
100% remote work opportunities from anywhere in the US
Generous paid time off and company holidays
Parental leave for both birthing and non-birthing parents
Mental health resources and wellness programs
Flexible spending accounts for healthcare and dependent care
Compensation and Benefits
careerzynith offers a comprehensive compensation package that recognizes the value our data engineering specialists bring to our organization. While specific compensation varies based on experience, skills, and location, our data engineering roles typically offer:
Competitive base salary with opportunities for performance-based bonuses
Comprehensive health, dental, and vision insurance options
401(k) plan with company matching
Stock options or RSUs for eligible positions
Relocation assistance for eligible candidates
Home office equipment allowance and technology stipend
Wellness programs including gym reimbursement and mental health support
Our Culture and Values
careerzynith is more than just a companyâit's a community of innovators, problem-solvers, and forward-thinkers. We pride ourselves on:
Innovation: We constantly push boundaries and challenge the status quo
Inclusivity: We celebrate diverse perspectives and create an environment where everyone belongs
Collaboration: We believe the best ideas come from diverse teams working together
Integrity: We operate with honesty and transparency in everything we do
Customer obsession: We keep the customer at the center of every decision we make
The Future of Retail is Data-Driven
In today's digital-first retail landscape, data isn't just importantâit's fundamental to success. careerzynith is at the forefront of this revolution, leveraging the power of data to create personalized, seamless shopping experiences for our customers. As a member of our data engineering team, you'll be at the heart of this transformation, working with cutting-edge technologies to solve complex challenges and drive meaningful business impact.
Ready to Shape the Future of Data at careerzynith?
This is more than just a jobâit's an opportunity to be part of something bigger than yourself. Whether you're launching your career in data engineering or looking to take the next step in your professional journey, careerzynith offers the platform, the challenges, and the support you need to succeed.
We invite you to join us in redefining the future of retail through data innovation. Apply today to become part of careerzynith's data engineering team and start making a difference from day one.
Apply for this job
careerzynith is revolutionizing the retail landscape through innovative technology solutions that power one of the world's most dynamic e-commerce platforms. As a leader in the retail technology space, we're constantly pushing boundaries to create seamless, data-driven experiences that touch millions of lives every day. Our Supported Hunt Information group stands at the heart of this transformation, responsible for architecting, implementing, and maintaining the data infrastructure that drives our cutting-edge advertising platform.
We're seeking a talented Data Engineering Specialist to join our growing team and play a pivotal role in building and maintaining the data pipelines that power careerzynith's advertising ecosystem. This is more than just a data entry positionâit's an opportunity to work with massive datasets, advanced technologies, and collaborative teams that are literally shaping the future of retail advertising.
About careerzynith's Supported Hunt Information Team
The Supported Hunt Information group is the backbone of careerzynith's data infrastructure, responsible for designing, implementing, and maintaining data pipelines, datasets, and ETL processes for our Supported Pursuit Advertising platform. We collaborate across multiple teams within careerzynith to ensure data quality, accessibility, and reliability for analysis and reporting by sponsors using our self-serve platform.
Our team operates at the intersection of big data, cloud computing, and advertising technology. We work with petabytes of data daily, processing everything from user behavior patterns to advertising campaign performance metrics. This is where technical complexity meets business impact, where your work directly influences how millions of customers experience careerzynith's digital ecosystem.
Your Role: Data Engineering Specialist
As a Data Engineering Specialist at careerzynith, you'll be responsible for much more than just data entry. You'll be designing and implementing robust data solutions that power one of the world's largest e-commerce advertising platforms. This full-time position offers flexible scheduling with both night and day shift options, along with the freedom to work remotely from anywhere in the world.
What You'll Do: Key Responsibilities
Build and maintain robust, scalable data pipelines for ingesting, transforming, and storing massive volumes of data to support advertising on careerzynith.com and its subsidiaries
Optimize and enhance ETL processes to ensure efficient data processing and pipeline reliability
Design and implement data models for efficient storage and retrieval of large-scale datasets
Work with cloud platforms like Microsoft Azure and Google Cloud for data storage, processing, and analytics
Create and deploy large-scale, containerized applications using Docker and Kubernetes in public clouds like Google GCP and Microsoft Azure
Collaborate with cross-functional teams including scrum teams, QA, Product, Program Management, and Partner Operations
Participate in 24/7 on-call rotations to troubleshoot production issues across cross-functional teams
Ensure data quality, consistency, and accuracy across all systems and platforms
Monitor and optimize data pipeline performance, identifying and resolving bottlenecks
Develop documentation for data processes, systems, and best practices
Stay current with emerging data technologies and approaches, evaluating their potential application to careerzynith's environment
What You'll Bring: Essential Qualifications
Demonstrated aptitude in data engineering concepts, database design, ETL processes, and data mining
Proficiency in working with data technologies including SQL, Python, Scala, Hadoop, and related technologies and tools
Experience with ETL tools such as Apache Airflow
Strong skills working with relational databases (e.g., Azure SQL) and NoSQL databases (e.g., Cassandra)
Experience with real-time message processing using Apache Kafka
Experience in designing and implementing data models for efficient storage and retrieval
A growth-oriented mindset with a willingness to raise the technical bar and identify opportunities for improving existing processes, tools, and systems
Strong oral and written communication skills, with the ability to present to both technical and non-technical audiences
A strong sense of ownership and accountability, self-discipline, focus on high-quality standards, and a team-oriented approach that values design thinking, efficiency, and innovation
Preferred Qualifications
Experience working with Docker and Kubernetes
Experience with Cloud Computing Services like Google GCP and Microsoft Azure, as well as Distributed Storage Systems like Hive and Elastic Search
Familiarity with advertising technology platforms and digital advertising concepts
Experience with data visualization tools and dashboards for monitoring data pipelines
Knowledge of machine learning concepts and how they integrate with data pipelines
Why Join careerzynith's Data Team?
Imagine working in an environment where your work makes a tangible impact on millions of customers daily. That's the reality at careerzynith's Global Tech division. We're a community of programmers, data scientists, cybersecurity experts, and service professionals within the world's leading retailer who have a legendary impact and are at the forefront of the next retail disruption.
People are why we grow, and people power our technologies. We are human-driven and tech-enabled. We train our team in the skill sets of the future and bring in experts like you to help us grow. We play roles for those pursuing their first opportunity as well as those seeking the opportunity that will define their career.
Professional Growth and Learning at careerzynith
When you join careerzynith's data engineering team, you're not just getting a jobâyou're launching a career with endless possibilities. We invest heavily in our people's growth through:
Comprehensive technical training programs in emerging data technologies
Access to industry-leading certifications in cloud platforms, data engineering, and related fields
Clear career paths with opportunities to advance from specialist roles to team leadership and architecture positions
Regular knowledge-sharing sessions and internal tech talks
Tuition assistance for continued education and professional development
Conference attendance opportunities to stay connected with industry trends and best practices
Our Commitment to Work-Life Balance and Flexibility
We understand that great work comes from well-balanced lives. That's why careerzynith offers:
Flexible work schedules with both night and day shift options
100% remote work opportunities from anywhere in the US
Generous paid time off and company holidays
Parental leave for both birthing and non-birthing parents
Mental health resources and wellness programs
Flexible spending accounts for healthcare and dependent care
Compensation and Benefits
careerzynith offers a comprehensive compensation package that recognizes the value our data engineering specialists bring to our organization. While specific compensation varies based on experience, skills, and location, our data engineering roles typically offer:
Competitive base salary with opportunities for performance-based bonuses
Comprehensive health, dental, and vision insurance options
401(k) plan with company matching
Stock options or RSUs for eligible positions
Relocation assistance for eligible candidates
Home office equipment allowance and technology stipend
Wellness programs including gym reimbursement and mental health support
Our Culture and Values
careerzynith is more than just a companyâit's a community of innovators, problem-solvers, and forward-thinkers. We pride ourselves on:
Innovation: We constantly push boundaries and challenge the status quo
Inclusivity: We celebrate diverse perspectives and create an environment where everyone belongs
Collaboration: We believe the best ideas come from diverse teams working together
Integrity: We operate with honesty and transparency in everything we do
Customer obsession: We keep the customer at the center of every decision we make
The Future of Retail is Data-Driven
In today's digital-first retail landscape, data isn't just importantâit's fundamental to success. careerzynith is at the forefront of this revolution, leveraging the power of data to create personalized, seamless shopping experiences for our customers. As a member of our data engineering team, you'll be at the heart of this transformation, working with cutting-edge technologies to solve complex challenges and drive meaningful business impact.
Ready to Shape the Future of Data at careerzynith?
This is more than just a jobâit's an opportunity to be part of something bigger than yourself. Whether you're launching your career in data engineering or looking to take the next step in your professional journey, careerzynith offers the platform, the challenges, and the support you need to succeed.
We invite you to join us in redefining the future of retail through data innovation. Apply today to become part of careerzynith's data engineering team and start making a difference from day one.
Apply for this job