At DevSavant, we are a trusted technology partner specializing in Software Development, Data Engineering, AI/Machine Learning, Cloud Solutions, Automation Testing, and UI/UX Design. We deliver high-impact, high-quality solutions with a focus on innovation and results. Our people are at the heart of everything we do, fostering a culture of growth, ownership, and well-being.
We’re currently partnering with a fast-growing tech company to scale their AI-enhanced data platform, and we’re looking for a Senior Data Engineer who can own business problems end-to-end from abstract requirements to production-ready systems.
What You’ll DoYou will report to the Head of Data Engineering and work as a trusted technical partner in building secure, scalable, and cost-effective data systems. This is a high-autonomy, high-impact role where your ability to take broad direction, define a strategy, and execute it hands-on will be critical.
Translate ambiguous business problems into scalable data solutions.
Design and implement high-performance, secure data pipelines (batch and streaming).
Drive integration of data across internal and third-party sources.
Develop and maintain infrastructure-as-code and CI/CD for data pipelines.
Partner with stakeholders across product and engineering to define data contracts, SLAs, and delivery plans.
Ensure high data quality and system reliability through rigorous monitoring.
Contribute to AI/ML data strategy and integration efforts.
Provide leadership through mentorship and sharing best practices.
Communicate clearly and technically in a remote-first environment.
7+ years of hands-on data engineering experience, including ETL, big data processing (e.g., Spark/PySpark), and data warehousing.
Proven ability to independently take a business goal, design a technical solution, and implement it.
Strong background with cloud infrastructure (especially AWS).
Deep expertise with SQL and relational/non-relational databases (e.g., MySQL, PostgreSQL, DynamoDB).
Strong Python coding skills (including PySpark, Pandas, etc.).
Experience designing for both OLAP and OLTP systems.
Familiarity with microservices and event-driven architecture is a plus.
Experience working with BI tools such as Power BI or Tableau.
Proficient in Linux and CLI tools.
Experience with Terraform, CircleCI, Docker, and Git.
Excellent communication skills – especially in asynchronous, remote-first teams.
Strategic thinker with a bias toward action and a mindset of continuous improvement.
Can zoom out to see the big picture and zoom in to write the code.
Love solving complex problems with imperfect information.
Are proactive, curious, and accountable.
Enjoy building systems that are both elegant and practical.
Are comfortable leading without formal authority and influencing outcomes through insight and clarity.
Languages & Frameworks: Python, JavaScript, Node.js, React
Cloud & Infrastructure: AWS (Lambda, Fargate, Bedrock, RDS, S3, Kinesis), Terraform
Databases: MySQL, PostgreSQL, DynamoDB
CI/CD & DevOps: CircleCI, Git, Docker
Architecture: Microservices, Event-driven, Cloud-native
BI Tools: Power BI, Tableau
