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ETL Developer

Job in Minneapolis, Hennepin County, Minnesota, 55423, USA
Listing for: Aditi Consulting
Full Time position
Listed on 2026-07-16
Job specializations:
  • Software Development
    Data Engineering
Salary/Wage Range or Industry Benchmark: 55 - 59.5 USD Hourly USD 55.00 59.50 HOUR
Job Description & How to Apply Below

Data Engineer

Payrate: $55.00 - $59.50/hr join our dynamic team responsible for building the measurement, reporting, and insights platform that powers Best Buy Ads and the broader Retail Media Network. In this role, you will design, develop, and maintain scalable, reliable, and high-performance data solutions. You will work on enhancing data pipelines, APIs, and cloud-based services on Google Cloud Platform (GCP) while contributing to the architecture and implementation of measurement platforms.

This position is hybrid, requiring some days on site at the Best Buy location and some days working virtually from home.

Responsibilities

  • Design, build, and maintain scalable batch/streaming data pipelines on Google Cloud.
  • Develop and operate reliable data pipelines and DAGs using Apache Airflow/Cloud Composer for batch and near-real-time workflows.
  • Build ELT/ETL on GCP services, enforcing coding, testing, and observability standards.
  • Write expert-level SQL for modeling, complex transformations, windowing functions, and performance tuning.
  • Develop Python data components, packaging, and CI/CD for deployment to Composer/Dataflow.
  • Work with Big Data ecosystems and MPP warehouses, supporting data ingestion, schema evolution, and partitioning/clustering strategies.
  • Integrate Postgres sources/targets.
  • Collaborate with product, analytics, and platform teams to uphold security, compliance, data quality, and documentation standards.

Qualifications

  • 5 years of experience with SQL.
  • 3 years of experience with Apache Airflow (Cloud Composer).
  • 3 years of experience with GCP (Big Query, Dataflow, Pub/Sub, GCS, Composer).
  • 5 years of experience with Python.
  • 5 years of experience with Big Data (warehousing/processing concepts, performance).
  • 3 years of experience with Postgres.

Skills

  • Experience in the ads domain.
  • Ability to communicate effectively with stakeholders to understand and solve problems efficiently.
  • Preventing data quality issues before they impact users.
  • Ability to prioritize projects and handle multiple requests.

Pay Transparency:
The typical base pay for this role across the U.S. is: $55.00 - $59.50 /hour. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience.

Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus.

Sick leave and mobile phone reimbursement provided based on state or local law.

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