Data Engineer/DataOps Engineer W/AWS, Python and AWS Glue
Senior Data Engineer 100% Remote (U.S. Only) Full-Time NO sponsorship will be offered for this role now or in the future $130,000 – $150,000 base salary We are partnering with a mission-driven technology organization building modern data platforms that power innovation and improve outcomes across complex, data-intensive environments. We are seeking an experienced Senior Data Engineer to help design and scale a cloud-native data ecosystem supporting critical analytics and operational systems. This is a hands-on engineering role focused on building reliable, secure, and scalable data infrastructure in AWS. You’ll work closely with product and analytics teams to shape how data flows across platforms while ensuring accuracy, performance, and governance standards are met. If you enjoy building systems from the ground up, solving meaningful data challenges, and collaborating within a highly engaged engineering culture, this role offers strong impact and ownership. What You’ll Do Design & Build Cloud-Native Data Systems • Develop and administer scalable AWS-based data solutions using services such as AWS Glue, Lambda, Step Functions, Redshift, Aurora, Amazon S3, and MWAA (Airflow) • Design modern data architectures including data lakes, warehouses, ingestion pipelines, and transactional processing systems • Translate business and analytics requirements into scalable data models • Build and support internal applications using Python, SQL, and stored procedures Develop Reliable Data Pipelines • Design, implement, and maintain ETL processes for ingesting, transforming, and validating complex datasets • Automate manual workflows to improve reliability and reduce operational overhead • Ensure data accuracy, consistency, and accessibility across systems Optimize Performance & Scalability • Monitor and tune pipelines for performance, reliability, and cost efficiency • Implement partitioning, caching, and optimization strategies • Evaluate new tools and continuously improve platform capabilities Collaborate & Lead • Provide technical guidance and mentorship within the data engineering team • Partner with product and analytics stakeholders to align engineering solutions with business goals • Contribute to a culture of collaboration, accountability, and continuous improvement Data Governance & Security • Implement data security controls and governance standards • Maintain compliance with healthcare data regulations and industry best practices • Protect sensitive data through strong access and monitoring practices What You Bring • Bachelor’s degree in Computer Science, Information Systems, or a related quantitative field • 10+ years of experience in data engineering or similar roles • Deep expertise with AWS-native data platforms (Redshift, Aurora/RDS PostgreSQL, Glue, Lambda, Step Functions, MWAA/Airflow) • Strong Python and SQL skills, including advanced query optimization • Experience working with healthcare data (medical claims, pharmacy/Rx claims, or similar datasets) • Proven ability to partner with business teams and translate requirements into technical solutions • Strong ownership mindset with a collaborative, team-first approach Benefits & Perks Comprehensive Health Coverage Company-sponsored medical, dental, and vision insurance with 100% of employee premiums covered and 50% coverage for eligible dependents. 401(k) with Company Match Generous retirement savings plan with a 100% employer match on employee contributions up to 5% of salary, Flexible Time Off Flexible vacation policy designed to support work-life balance and personal well-being. Team members are encouraged to take time off as needed with leadership approval. Paid Parental Leave Generous paid leave for growing families, supporting both birth and non-birth parents.