The Role
Designs, develops, and maintains scalable data pipelines, data warehouses, databases, and analytical systems. Responsibilities include ETL implementation, data modeling, performance monitoring, troubleshooting, infrastructure optimization, process automation, and collaboration with cross-functional teams to support reporting and analytics. Requires 5+ years of data engineering experience and a relevant bachelor’s degree. Financial services experience is preferred.
Summary Generated by Built In
What You’ll Do:
As the Data Engineer you will help design, develop, and maintain our data pipelines, databases, and analytical systems. This role collaborates with cross-functional teams to gather requirements, implement data solutions, and ensure the reliability and efficiency of our data infrastructure. A successful Data Engineer will bring a high level of experience implementing scalable data pipelines for ingesting, transforming, and storing large volumes of structured and unstructured data. This position reports to the VP of Global Engineering.
Day-to-Day Responsibilities also include:
- Build and maintain data warehouses, data pipelines, and other storage solutions to support business intelligence, reporting, and analytics needs.
- Design, implement, and maintain scalable data pipelines for extracting, transforming, and loading (ETL) data from various sources into our data warehouse.
- Collaborate to understand data requirements and implement solutions for data modeling, analysis, and visualization.
- Monitor data pipelines and systems performance, troubleshoot issues, and implement optimizations to improve reliability, scalability, and efficiency.
- Support leadership in identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
- Stay up to date with emerging technologies and industry trends in data engineering and contribute ideas for continuous improvement of data infrastructure and processes.
What You'll Bring
What You’ll Bring:
Must Haves:
- 5+ years of relative experience in data engineering roles.
- Bachelor's degree in computer science, information systems, engineering, mathematics, or a related field.
- Experience with Snowflake, Postgres, APIs, Middleware
- A background working with financial data & HRIS systems
Nice to Haves:
- Experience within Financial Services industry.
More about us:
What does it mean to be a part of the Escalon team?
For nearly two decades Escalon has helped more than 5,000 companies across a range of industries to optimize their back-office processes. At Escalon, we deliver Essential Business Services to organizations so that owners and leaders can focus on the core of their business while Escalon takes care of the rest. We call it Escalon, And Done! Escalon’s simple and intuitive technology and outsourcing solutions significantly reduce the administrative costs and time needed to perform FinOps, PeopleOps, and Risk “back-office” services. “And done” is our simple way to describe how we deliver high-quality, exceptional service to our clients.
We’re looking for motivated and goal-driven team members who can do what it takes to make a company great. The reward is an exciting, flexible and creative environment with opportunities for professional and personal growth. As our name indicates, working at Escalon is taking the step on the ladder to long-term career growth and ultimately meeting your personal career goals.
If you share the Escalon values of free exchange of ideas, respect for differences and a keen focus on well-being we want to hear from you!
Skills Required
- 5+ years of relevant experience in data engineering roles
- Bachelor's degree in computer science, information systems, engineering, mathematics, or a related field
- Experience within the financial services industry
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The Company
What We Do
Escalon Services provides comprehensive back-office solutions, specializing in accounting, HR, payroll, and finance to help businesses focus on growth while managing operational needs.
