Senior Data Engineer - Contract

** This is a 6+ month contract opportunity with our client located in Minneapolis, MN. On-site requirement is 4 days per week. Candidates must be authorized to work in the United States without the need for sponsorship. **

We are seeking a Senior Data Engineer to join a fast-paced, growing data engineering team within a forward-thinking investment firm. This role is ideal for a technically skilled data professional with strong experience in SQL and Python, and a passion for building data pipelines, modeling, and delivering modern data solutions. You must be comfortable working with both structured and unstructured data, and have a strong interest in cloud technologies. While experience with AWS, DBT, and Snowflake is a plus, the team is open to training the right candidate in these tools.

Primary Duties

• Build and maintain scalable data pipelines using SQL and Python.

• Work with both structured and unstructured data to support analytical and operational use cases.

• Support cloud data engineering projects, especially those leveraging AWS (training available).

• Collaborate on data modeling and transformation efforts across teams.

• Assist with documentation, QA, and code reviews to ensure data quality and system reliability.

• Communicate effectively with engineers, analysts, and business partners to deliver timely data solutions.

• Continuously identify opportunities to optimize and improve data workflows.

Required Qualifications

• Strong experience with SQL and Python.

• Ability to work confidently with structured and unstructured data.

• Strong analytical thinking and problem-solving skills.

• Excellent written and verbal communication skills.

• Self-starter who is eager to learn and grow in a fast-moving environment.

Nice to Have Skills

• Experience with DBT (Data Build Tool).

• Familiarity with Snowflake or similar cloud data platforms.

• Exposure to AWS services (e.g., S3, Redshift, Glue, Lambda).

• Experience with data visualization tools such as Looker (training provided).

• Knowledge of version control (Git), CI/CD, and workflow orchestration tools like Airflow.

• Background in financial services or data-intensive business environments.

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