Job Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer at Expression in the United States.

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 organization’s data ecosystem.

Accountabilities:

• 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

Requirements:

• 4–7 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
• Preferred: experience with generative AI tools and agile/iterative development workflows
• Security clearance eligibility required; Top Secret clearance is a plus

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

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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