Senior Data Engineer

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Job Responsibilities:

Key Responsibilities

• Data Pipeline Development: Design, build, and maintain ETL pipelines that move data between diverse sources and destinations, including application databases, cloud data warehouses, third-party APIs, and object storage.

• Cross-Functional Collaboration: Partner with product managers, research scientists, QA, and platform engineers to translate business and ML requirements into data engineering work with clear acceptance criteria and documentation.

• Data Quality & Investigation: Investigate and resolve data integrity issues surfaced by stakeholders, including missing data, incorrect mappings, duplicates, and schema mismatches.

• Data Security & Compliance: Ensure data security, quality, and compliance standards are met across all data pipelines and processes.

• Automation: Automate the end-to-end process of data ingestion, transformation, and processing to increase efficiency and reliability.

• Dataset Management: Develop and maintain complex datasets while ensuring a uniform design and engineering methodology across various systems.

• Mentorship: Mentor junior engineers, conduct peer reviews using documented checklists, and identify opportunities to improve team processes and adopt new tooling.

Qualifications

• Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

• Experience: 4-6 years of experience in data engineering or related fields, with a focus on AI/ML.

• Technical Proficiency:

  • Strong Python skills, including experience with migration frameworks (e.g., Alembic, SQLAlchemy), and production-grade data processing scripts.

  • Advanced SQL across both transactional databases (PostgreSQL or similar) and columnar data warehouses (AWS Redshift strongly preferred).

  • Proficiency in cloud services (e.g., dbt, AWS, Azure, GCP).

  • Proficiency with AWS services: Redshift, S3, Lambda, IAM.

  • Strong Git and GitHub skills, including branching strategies, pull request workflows, and code review practices.

  • Expertise in building scalable, fault-tolerant data pipelines.

• Problem-Solving Skills: Excellent problem-solving and analytical skills, with the ability to identify and address performance bottlenecks.

• Leadership Skills: Experience mentoring junior engineers or leading small teams, with strong technical leadership capabilities.

• Collaboration Skills: Excellent communication and teamwork skills, with the ability to work effectively in cross-functional teams.

Soft Skills

• Comfortable with Ambiguity: Thrives when requirements are incomplete or evolving. Able to independently research the best path forward rather than waiting for a perfect specification.

• Ownership & Accountability: Takes full ownership of problems from investigation through resolution. Operates with a startup mentality. Identifies issues, drives solutions forward independently, and isn't afraid to introduce new approaches while respecting what already works.

• Stakeholder Communication: Communicates clearly with both technical and non-technical stakeholders. Comfortable reaching out directly to gather requirements or unblock work, and knows when and to whom to escalate.

• Proactive Problem Solving: Anticipates issues before they become blockers. Surfaces data quality problems, dependency risks, and process gaps without being asked.

• Collaboration & Team Orientation: Works effectively across time zones and cross-functional teams. Contributes to team knowledge through documentation, knowledge sharing, and thorough reviews.

Additional Job Details: