Sr. Data Engineer

black.ai; Snowflake (AZ); Remote; USD 80,000 - 120,000; Full time

Job summary

An innovative company is seeking a skilled Data Engineer to enhance its data systems and drive impactful data-driven decisions. In this role, you will leverage your expertise in Python and SQL to build and optimize data pipelines, ensuring data quality and governance. Collaborating with cross-functional teams, you will develop tools that support a data-first culture and help shape the company's data strategy. If you are passionate about using data to empower others and thrive in a collaborative environment, this opportunity is perfect for you. Join a forward-thinking organization that values diversity and inclusion in the workplace!

Benefits

Competitive salary

Generous equity package

Full healthcare benefits

Technology expense reimbursement

Virtual first environment

Qualifications

• 4+ years of data engineering experience with complex data pipelines.
• Experience with SQL and modern orchestration tools like dbt and Airflow.

Responsibilities

• Write secure, clear, and performant code using Python, Spark, and SQL.
• Build and optimize frameworks for batch and streaming data.

Skills

Python

SQL

Data Engineering

Data Governance

Data Quality Standards

Troubleshooting

Data Modeling

Batch Processing

Real-time Processing

Collaboration

Education

Bachelor's Degree in Computer Science or related field

Tools

dbt

Databricks

Azure Event Hub

Terraform

Redshift

Azure Synapse

Snowflake

Spark

Kafka

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Empower is shaking up an outdated financial system by providing real opportunity for our customers: the opportunity to get the cash they need, to access fair credit, and to change their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.

THE EMPOWER WAY

Great Expectations: We come up with bold, audacious goals for ourselves and go all out for impact.

Owner Mindset: We give every employee latitude to act independently, make smart choices, and move the business forward.

Spirited Debate: We love skeptics and seek counter opinions to challenge our personal assumptions and expand our view.

Customer Obsession: We listen to understand, empathize, and create a memorable, rewarding experience for our community.

Inclusive Collaboration: We believe diverse teams make the best decisions, and we strive to give diverse voices a seat at the table.

No Jerks Allowed: We value our relationships and take the time to build trust and connection and communicate respectfully.

WHAT EMPOWER OFFERS

Competitive salary

Generous equity package

Full healthcare benefits

Technology expense reimbursement

Virtual first environment

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.

At Empower, we hire for people that push themselves to understand others and seek out ways to challenge their personal assumptions. Our hope is that by fostering such an environment, we strengthen our business and relationships by putting people first. We are committed to building a diverse, inclusive, and equitable workspace where everyone (regardless of age, education, ethnicity, gender, sexual orientation, or any personal characteristics) feels like they belong. Even if your experience doesn’t exactly match up to our job description, you should feel empowered to apply regardless!