Senior Data Engineer

About the Role

We're looking for a
Senior Data Engineer
to design, build, and optimize our data platforms so teams across the company can make fast, reliable, data-driven decisions. You'll be a key technical leader, owning end-to-end data pipelines and modeling, and setting best practices around how we work with data.

You'll work heavily with
Databricks, Spark, SQL, and Python
, building scalable data solutions that power analytics, reporting, and data products. Experience in
payments or financial services
is a strong plus.

What You'll Do

• *Design and build data pipelines *

• Develop, maintain, and optimize
  ETL/ELT pipelines
  on Databricks and Spark.

• Integrate data from multiple internal and external sources into a centralized data platform.

• *Own data modeling & architecture *

• Design and maintain
  robust data models
  (e.g., star/snowflake schemas, data vault, dimensional models) to support analytics and self-service BI.

• Establish and enforce data modeling standards and documentation.

• *Ensure data quality, reliability, and performance *

• Implement
  data quality checks
  , validation frameworks, and monitoring.

• Tune queries and jobs for performance and cost efficiency in Databricks and downstream systems.

• *Collaborate and lead *

• Partner with data analysts, data scientists, and product/engineering teams to understand data needs and translate them into technical solutions.

• Provide technical leadership and mentorship to other data engineers; help review designs and code.

• *Governance & best practices *

• Contribute to and refine our
  data governance
  , security, and access control practices.

• Drive best practices around version control, CI/CD for data, and code standards.

Required Qualifications

• *7+ years *
  of professional experience as a Data Engineer, Software Engineer, or similar role.
• Strong hands-on experience with
  Databricks
  (or a very similar cloud data platform) including cluster management, jobs, and notebooks.
• Advanced experience with
  Apache Spark
  for batch and/or streaming data processing.
• Expert-level
  SQL
  skills (complex joins, window functions, query optimization).
• Strong
  Python
  skills for data engineering (e.g., PySpark, data processing libraries, scripting).
• Proven experience in
  data modeling
  and designing schemas for analytics and reporting.
• Experience building and maintaining
  data pipelines
  in a cloud environment (AWS, Azure, or GCP).
• Strong understanding of
  data warehousing concepts
  , ETL/ELT best practices, and data lifecycle.
• Solid software engineering fundamentals: version control (git), testing, code reviews, and CI/CD.
• Excellent communication skills and the ability to collaborate with technical and non-technical stakeholders.

Nice to Have

• Experience in
  payments, fintech, banking, or broader financial services
  (e.g., transaction data, ledgers, risk, fraud, reconciliation).
• Experience with
  streaming technologies
  (e.g., Spark Structured Streaming, Kafka, Kinesis, or similar).
• Familiarity with
  dbt
  or similar transformations-as-code frameworks.
• Experience with
  orchestration tools
  (e.g., Airflow, Databricks Workflows).
• Knowledge of
  BI tools
  (e.g., Power BI, Tableau, Looker) and how data models power them.
• Exposure to
  machine learning workflows
  and supporting data science teams.
• Experience implementing
  data governance, lineage, and catalog tools
  .

What You'll Bring

• A product mindset: you think about the
  end users of data
  and build with usability in mind.
• A bias for
  automation, reliability, and scalability
  over one-off solutions.
• Comfort with ambiguity, ownership of complex problems, and a desire to continuously improve the data ecosystem.

What We Offer

• 401k investment opportunity, with company match
• Medical, Dental, and Vision Plans
• Paid Time Off
• Paid Parental Leave
• Paid Volunteer Leave
• Fully Remote Work environment

Role Information:

• Full-Time, Remote in the United States
• Salary Range: $120,000-$145,000

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

About Quilt Software

Ever wondered how your favorite local shops compete with the big guys? That's where we come in. We're Quilt Software, providing Main Street's unsung heroes – from quirky cheese shops to family-run jewelry stores – with the tools they need to compete. Last year, we helped 14,000+ shops make over $2 billion in sales with our family of industry-specific software solutions.

If you get a kick out of supporting local businesses, love great software, and want to be part of a company that's powering Main Street, we'd love to chat. Come join us in our quest to keep local retail not just alive, but thriving

Notice - Employment Scams
Communication from our team regarding job opportunities will only be made by a Quilt Software employee with an email address. We do not conduct interviews over email or chat platforms, and we will never ask you to provide personal or financial information such as your mailing address, social security number, credit card numbers, or banking information. If you believe a scammer is contacting you, please mark the communication as "phishing" or "spam" and do not respond.