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Sr. Data Engineer

Icon Ventures

United States

Remote

USD 100,000 - 150,000

Full time

2 days ago
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Job summary

A leading company is looking for a Data Engineer to join their team in a remote-first environment. The successful candidate will be responsible for building and optimizing data pipelines, leveraging skills in Python, SQL, and data orchestration tools to drive impactful insights. Join a progressive and supportive team dedicated to reshaping financial futures through innovative data solutions.

Benefits

Competitive salary and equity
100% coverage for insurance
Work from home reimbursement
Twice-yearly company retreats
Ongoing development opportunities

Qualifications

  • 4+ years of data engineering experience with complex data pipelines.
  • Experience with cloud providers and Infrastructure-as-Code (IaC) tools.
  • Understanding of data ecosystems and key metrics.

Responsibilities

  • Write secure and performant code using Python, SQL, and Spark.
  • Build and optimize data frameworks for batch and streaming data.
  • Partner with various teams to fulfill their data requirements.

Skills

Python
SQL
Data Governance
Data Quality
Spark
Data Orchestration
Terraform
Kafka

Tools

dbt
Databricks
Azure Event Hub
Redshift
Snowflake
Azure Synapse
Mode
Airflow

Job description

EMPOWER OVERVIEW

Empower is shaking up an outdated financial system by providing real opportunity for our customers: the opportunity to get the cash they need, to access fair credit, and to change their financial story. Today, we’re helping millions of people find financial security through machine learning models that evaluate creditworthiness using a more inclusive lens and mobile-first products: Cash Advance, Thrive line of credit, and Petal credit cards. Tomorrow? Creating even more financial paths for our customers (and their wallets) to succeed.

This year, Empower ranked #65 on Inc. 5000’s Fastest-Growing Private Companies list — our third year in a row cracking the top 100 — and was named by Forbes as one of the 25 Next Billion-Dollar Startups for 2024. Empower was also featured by Forbes on America’s Best Startup Employers list in 2023, and our Thrive line of credit product was named by Fast Company as one of 2022’s Next Big Things in Tech.

Empower is backed by Sequoia Capital, Blisce, and Icon Ventures. Ready to grow your impact and accelerate your career? Take a look at our open roles — we can’t wait to meet you.

Job Description


Making data-driven decisions is key to Empower’s culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide tooling and guidance to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Empower serve our customers more effectively. Data Engineers heavily leverage SQL and Python to build data workflows. We use tools like dbt, Databricks, Azure Event Hub and Terraform to orchestrate data pipelines and define workflows. We work with engineers, product managers, business intelligence, credit analysts, and many other teams to build Empower’s data strategy and a data-first mindset.

How You'll Make an Impact

  • Write secure, clear, well-structured, and performant code using Python, Spark and SQL

  • Build, scale, and optimize secure, self-service frameworks for batch and streaming data.

  • Automate and streamline data infrastructure updates and CI/CD deployment processes.

  • Develop tools and frameworks that enhance data governance and improve data quality standards.

  • Partner with stakeholders, such as Analytics, Credit/Risk, Data Science, Product Engineering, and other business partners to meet their data needs.

Why You're a Great Fit

  • 4+ years of dedicated data engineering experience, solving complex data pipelines issues at scale.

  • Experience troubleshooting and investigating data issues.

  • Experience building data models and data pipelines on top of large datasets (terabytes of data)

  • Experience with SQL as a flexible and extensible tool, and are comfortable with modern SQL data orchestration tools like dbt, Mode, and Airflow.

  • Experience working with different performant warehouses and data lakes; Redshift, Azure Synapse, Snowflake, Databricks.

  • Experience building and maintaining both batch and real-time pipelines using technologies like Spark and Kafka/Azure Event Hub.

  • Experience with Terraform or similar Infrastructure-as-Code (IaC) tools, and a cloud provider stack (AWS, GCP, or Azure).

  • Understanding of key metrics of a data ecosystem and experience building infrastructure or data solutions to partner teams

Don't meet every qualification? If you're excited about this challenge and driven to innovate, we still want to hear from you!

What You'll Get at Empower
  • Meaningful Ownership: Competitive salary and generous equity in a profitable, fast growing company.

  • Complete Support: 100% coverage for medical, dental, vision, and life insurance, plus a generous WFH reimbursement.

  • High-Impact Teams: The chance to thrive in a small, focused team where your contributions directly shape outcomes for our business and customers.

  • Remote First: A virtual first environment built on trust and outcomes.

  • Team Connection: Twice-yearly company onsites where we come together to connect, learn, and build for the future (our last few have been in San Diego, Vail, and Flagstaff)!

  • Growth Path: Ongoing opportunities for development in a dynamic, supportive, and creative environment.

The Empower Way

The Empower Way is one where bold ambition meets an owner mindset, where open dialogue and spirited debate are encouraged, and where everyone works together to put our customers first. We believe diverse voices lead to the best ideas, and we foster an environment where every individual is valued, heard, and supported as part of one unified team working to change lives and build a more inclusive future.

If that sounds like you, join us and be part of a team that's helping millions of people reshape their financial futures.

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