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Senior Data EngineerQuilt Software • New York, New York, United States
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Senior Data Engineer

Quilt Software
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Postuler Maintenant

À propos

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 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
@quiltsoftware.com
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.
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  • New York, New York, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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