Bandit13.04.26
AI SCORE 8.5

Senior Data Engineer - Remote Contract Position

$100–$150/

About the Role

We are seeking a Senior Data Engineer to join Bandit Running in a remote contract position. As a pioneering technical performance brand, we are committed to creating innovative, high-quality apparel and gear for goal-driven runners. Our mission to "Evolve Running" guides everything we do, ensuring we always prioritize the needs of the global running community.

What You'll Do

  • Collaborate on and help define Bandit's data architecture, tooling choices, and long-term data strategy.
  • Execute on that strategy by building reliable ELT pipelines into Snowflake using Airbyte out-of-the-box and custom connectors.
  • Transform raw source data into clean, well-modeled analytical tables using dbt.
  • Translate business context to create enriched data stores from new source tables.
  • Build context and semantic layers on top of new data sources to enable self-serve analytics and AI-driven use cases.

Requirements

  • 5+ years of experience in data engineering or analytics engineering roles.
  • Expert SQL skills; comfortable modeling complex business logic.
  • Experience and opinions on data architecture decisions, tradeoffs, and tooling.
  • Good translator of business operations/problems into data schematics.
  • AI-oriented data builder with experience working in Snowflake, dbt, data ingestion tools (i.e., Airbyte), and Airflow.

Nice to Have

  • Experience with machine learning models and AI-driven workflows.
  • Familiarity with data visualization tools.

What We Offer

  • Fully remote position with flexible hours (20 hours/week).
  • 12-16 week contract duration.
  • Competitive pay of $100-150/hour based on experience.
  • A culture rooted in trust, empathy, and excellence.
  • Commitment to diversity, equity, and inclusion in our hiring practices.

Success in this Senior Data Engineer role looks like shipping durable, well-modeled datasets that become the default foundation for analytics, operations, and AI-driven workflows across Bandit. Join us in our mission to inspire greater passion and participation in the sport we love.

Why This Job8.5 of 10

This Senior Data Engineer role offers a unique opportunity to work remotely with a leading performance brand. Enjoy competitive pay and a flexible schedule while shaping innovative data solutions.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficient in SQL and experienced with Snowflake, demonstrating the ability to design and optimize complex data models to support Bandit's innovative data architecture.

Strong self-management skills suited for a remote work environment, including the ability to prioritize tasks effectively and maintain high productivity without direct supervision.

Hands-on experience with dbt and Airflow for data transformation and orchestration, showcasing a proactive approach to automating data workflows and improving data reliability.

Learning Resources

SQL for Data Sciencecourse

Career Path

Senior Data Engineer - Remote Contract Position(Now)Lead Data Engineer(1-2 years)Data Engineering Manager(3-5 years)

Market Overview

Market Size 2024
$45B
Annual Growth
12.5%
AI Adoption in Data Engineering
35%
Investment in Data Tools
+150%
Labour Demand for Data Engineers
+20%
Avg Salary for Senior Data Engineers
$130K

Skills & Requirements

Required
SQLSnowflakedbt
Growing in Demand
PythonData Visualization (Tableau, Power BI)Cloud Platforms (AWS, Azure, GCP)
Declining
Traditional ETL Tools (Informatica, Talend)Hadoop Ecosystem (MapReduce, Hive)

Domain Trends

Increased Adoption of Cloud Data Warehousing
By 2025, 70% of organizations will have migrated to cloud data warehouses, driven by the need for scalability and cost efficiency.
Rise of Real-Time Data Processing
Real-time data processing adoption is expected to grow by 25% annually, as businesses seek immediate insights for decision-making.
Integration of AI in Data Engineering
AI tools for data management are projected to enhance productivity by 40%, as data engineers increasingly leverage machine learning for data quality and transformation.

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