Data Engineer at Expression (Remote from US)
About The Position
In this role, you will design, build, and optimize data pipelines and platforms that ensure high-quality, governed, and reliable data across enterprise systems. You will collaborate closely with engineers, analysts, and stakeholders to deliver scalable ETL/ELT solutions, support analytics use cases, and implement robust data models. This position offers the opportunity to work with cutting-edge data tools, cloud technologies, and AI-assisted workflows in a remote-first, collaborative environment. You will contribute to system improvements, research emerging technologies, and ensure data accessibility, accuracy, and performance for operational and analytical needs. Your work will directly influence data-driven decision-making and the overall efficiency of the organizationâs data ecosystem.
Requirements
- 4â7 years of combined experience and education in Computer Science, Information Systems, Software Engineering, Data Engineering, or related fields
- Hands-on experience building and maintaining ETL/ELT pipelines and working with data warehouses, lakes, or analytics platforms
- Strong Python development skills and proficiency in SQL, including performance tuning
- Familiarity with data visualization/BI tools such as Tableau, Power BI, or Superset
- Experience with modern data tooling and cloud-based solutions (AWS/Azure preferred)
- Knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, Elasticsearch, etc.)
- Strong communication skills to explain technical concepts to both technical and non-technical audiences
- Ability to work effectively in a remote-first, collaborative environment
- Security clearance eligibility required; Top Secret clearance is a plus
Nice To Haves
- experience with generative AI tools and agile/iterative development workflows
Responsibilities
- Build, maintain, and optimize data pipelines for ingesting, transforming, validating, and securing data
- Develop and enhance scalable ETL/ELT processes and data models for analytics and operational use cases
- Apply data quality checks, monitoring, and documentation to ensure reliability and accuracy
- Collaborate with internal teams and stakeholders to understand data requirements and support analytics initiatives
- Contribute to the development, tooling, and automation of the data platform
- Research and prototype emerging data and analytics technologies, including AI-driven solutions
- Follow engineering best practices and provide input to improve system performance, reliability, and developer experience
Benefits
- Competitive salary range and bonus opportunities
- 401(k) matching
- PPO and HDHP medical, dental, and vision coverage
- Education reimbursement up to $10,000 per year
- Complimentary life insurance
- Generous PTO and 11 paid holidays
- Access to onsite gym and trainer
- Commuter benefits and in-office amenities such as cold brew coffee
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
11-50 employees
