Data Engineer
Build and maintain reliable data pipelines, warehouses, and lightweight data applications supporting analytics, operational models, and AI/ML workflows. The role requires SQL, Python, ETL, and data warehousing knowledge, with 1+ year of relevant experience preferred.
About the job
Responsibilities
- Design and implement data pipelines to ingest and transform data from varied sources.
- Monitor data quality, perform validation, and resolve data quality issues.
- Support data warehouse design and maintenance.
- Automate routine data engineering tasks and improve reliability.
- Develop and maintain lightweight data applications for ML interfaces, CRUD operations, and interactive analysis.
- Optimize the data stack to improve pipeline performance and reduce processing times.
- Document data pipelines, processes, and data flows.
- Collaborate with data analysts, data scientists, and business stakeholders to deliver data solutions.
- Curate and maintain datasets and pipelines supporting operational data models, feature stores, and AI/ML workflows.
- Stay current with data engineering best practices and emerging technologies.
Requirements
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- SQL and Python scripting skills.
- Understanding of data modeling concepts.
- Proficiency with data integration and ETL tools such as Stitch/Talend, Airbyte, or Fivetran.
- Knowledge of data warehousing technologies such as Snowflake, AWS Redshift, or Google BigQuery.
- Experience with AI-integrated development tools such as Cursor, Claude Code, or GitHub Copilot.
- Strong problem-solving, communication, teamwork, and attention-to-detail skills.
- Ability to work in a fast-paced, collaborative environment and learn new technologies.
Nice-to-Haves
- Master's degree in Computer Science, Information Technology, or a related field.
- 1+ years of experience as a data engineer or in a similar role at a small- to medium-sized technology company.
- Experience with AWS, Azure, or Google Cloud.
- Knowledge of Dagster or Airflow.
- Familiarity with data governance and security best practices.
- Previous data engineering internship or coursework.
Compensation and Benefits
- Base salary range: $115,000–$130,000 annually.
- Medical, dental, and vision insurance beginning day one.
- Health savings account with employer contribution.
- Flexible spending accounts for healthcare, dependent care, and commuter expenses.
- 401(k).
- Generous paid time off and paid holidays.
- In-office lunch perk.
- Flexible working hours.
- Paid parental leave.
- Company-sponsored short- and long-term disability.
Skills
SQL, Python, Data Modeling, Stitch, Talend, Airbyte, Fivetran, Snowflake, Aws Redshift, Google Bigquery, AWS, Azure, GCP, Dagster, Airflow
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