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FNIC Trusted insurance advisors
FNIC Trusted insurance advisors

Sr. Data Engineer

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

Senior

Tech stacks

Data
Agile
Power BI
+21

Visa

U.S. visa required

Permanent role
a day ago
Apply now

Description

Are you looking for?

  • Time back in your day
  • Flexible schedule including work-from-home options
  • Paid time off
  • Fun working environment
  • Tuition reimbursement
  • Growth & development

Are you ready to help shape the future of data at a growing, forward-thinking company? We’re looking for a versatile and innovative Sr. Data Engineer to join our agile data team. In this role, you won’t just be maintaining systems—you’ll be building and scaling a modern data platform from the ground up and driving how our organization turns information into insights.

What’s the work like?

_You will...

_

  • Design & Architect: Build and evolve scalable data solutions on Google Cloud Platform (BigQuery) to power decision-making across the company.
  • Bring Data to Life: Create engaging dashboards and visualizations in PowerBI that turn complex data into actionable insights.
  • Engineer & Integrate: Develop reliable APIs and Python integrations that connect our data platform with core business applications.
  • Be a Full-Stack Data Pro: Work across the data spectrum—from architecture and ETL processes to analytics, visualization, and API development.
  • Lead & Mentor: Share your expertise with junior team members, fostering a culture of growth, collaboration, and innovation.
  • Partner & Deliver: Collaborate closely with a Product Owner in an agile framework to continuously roll out enhancements and deliver real value.
  • Champion the User: Provide proactive support and demonstrate strong customer focus for the tools and solutions you help create.

Okay, so why join FNIC?

_This isn’t just another data role—it’s your chance to make a lasting impact by helping shape a data ecosystem that fuels strategy, innovation, and growth across the organization. You’ll have the opportunity to build, mentor, and lead while staying hands-on with cutting-edge technology in a supportive, agile environment.

_At FNIC, We Know That While We Expect a Lot From Our People, We Give a Lot In Return. Here’s What You Can Look Forward To

  • Competitive Pay: We strive to pay our employees a competitive market compensation
  • Benefits: You’re covered: health, dental, vision, HSA with employer contributions, 401k, employer-paid short-term & long-term disability, life insurance
  • Dress: Dress for your day – bring your whole self to work so you can be as comfortable at work as you are in your personal life.
  • Flexibility: Time back in your day? We got you. A 37.5 work week and telecommuting options as well as PTO starting at 3 weeks/year.
  • Wellness: Stretch away the stress every morning or night with our in-office gym or workout classes. Mental health resources - EAP
  • Education: Like to go back to school? Learn something new? We’ll provide tuition reimbursement to support you in your goals.
  • Fun working environment: Who likes a boring working environment? No one. We have plenty of fun with frequent company outings, food days, and fun competitions to name a few!

Requirements

What do I need to know?

_You have to have…

_

  • 5+ years in data engineering, with at least 2 years in full-stack data roles.
  • Deep knowledge of BigQuery / GCP, advanced SQL, PowerBI, and Python (including API development and integrations).
  • Proven experience designing and engaging PowerBI dashboards and visualizations.
  • A builder’s mentality—excited to shape a platform in a small, fast-moving team environment.
  • A natural mentor who enjoys guiding and growing others.
  • Comfortable working in an agile framework with iterative development and rapid delivery.

Bonus Points If You Have...

  • Familiarity with Applied System’s Epic application.
  • Experience in or exposure to the insurance industry.

About FNIC Trusted insurance advisors

🔗Website
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