Senior Data Engineer

Role overview

Schedule

• Standard business hours.

Pay and benefits

• Annual salary range is $111,000–$167,000; the description also states pay is weekly.
• Benefits include 16 days of first-year PTO, a 401(k) match from the first day, health coverage, HSA/FSA, insurance, leave, tuition reimbursement, and other programs.

Responsibilities

• Design, build, and maintain Databricks pipelines and data models; monitor performance, reliability, and cost.
• Integrate operational systems, including SQL Server systems of record, using APIs and integration tools; monitor and improve integrations.
• Use Claude and Replit to build and ship tools, automations, and internal apps and help colleagues do the same.
• Work with trading, recycling, and operations teams to define business questions and deliver data solutions.
• Maintain data quality across relational, column-oriented, and unstructured sources through validation and monitoring.
• Follow security practices and applicable regulatory standards, including access and permissions policies.
• Translate business needs into technical requirements and explain technical decisions to leaders and nontechnical colleagues.
• Interact with coworkers in person; other duties may be assigned.

Qualifications

• At least 5 years of experience as a Data Engineer, API Developer, or in a similar role.
• Hands-on Databricks pipeline experience using Spark, SQL, and Delta Lake; strong T-SQL and Microsoft SQL Server skills.
• Intermediate or expert Python proficiency; experience designing and consuming APIs and using integration platforms.
• Hands-on use of Claude and Replit, or comparable AI coding and app-building tools; be ready to show a project.
• Cloud and on-premises integration experience; Azure Data Factory and SSIS are a plus.
• A relevant bachelor’s degree is preferred.
• Ability to learn new tools independently and apply them quickly.

Workplace and physical requirements

• The description states that employees interact with coworkers in person.
• Frequently lift or move IT equipment up to 25 pounds and occasionally up to 50 pounds; prolonged desk and computer work is expected.