Lead Data Engineer (Hybrid, office is based in Austin, Texas)

Texas, US - Texas

Pay: Pay not listedSimilar roles state $127K–$190K
Work setting: Hybrid — work setting source
Work setup in the employer’s posting: Hybrid
From the employer’s posting
Employment: Permanent — employment source
Employment type Permanent - Full Time
Read the full posting

What you’ll work on

Working with multiple stakeholder communities to understand our data needs and create pipelines to take data between different layers in the platform

Ensuring the technical infrastructure is in place and appropriate to support managing the data platform and associated activities such as pipelines

Build pipelines that move data between layers of the data platform
Set up and maintain the technical infrastructure for the data platform
Create standards and patterns for high-quality future development
Define features and capabilities to grow data usage in insurance
Provide governance and consultancy to data platform users

From the employer’s posting

Working with multiple stakeholder communities to understand our data needs and create pipelines to take data between different layers in the platform

Ensuring the technical infrastructure is in place and appropriate to support managing the data platform and associated activities such as pipelines

create pipelines to take data between different layers in the platform

Ensuring the technical infrastructure is in place and appropriate to support managing the data platform

Creating standards and patterns to ensure that future development adhere to a high-quality fit for purpose framework

Defining features and capabilities to move the dial on data usage within the insurance industry

Providing governance and consultancy to users of the data platform and data related questions

What you’ll bring

All qualifications

Core experience

5+ years working in a data engineering role
Knowledge of Python and Spark
Strong SQL knowledge
Experience analyzing, cleaning, migrating and modeling data
Experience with Azure or another cloud provider (AWS, GCP)

Qualification wording

5+ years working in a Data Engineering role

Knowledge of Python and Spark

Strong SQL knowledge

Experience analyzing, cleaning, migrating and modeling data

Experience using Azure or another cloud provider (AWS, GCP)

Tools in this posting

Python
SQL
AWS
Azure
GCP
Spark

Source

- 5+ years working in a Data Engineering role - Knowledge of Python and Spark - Strong SQL knowledge

- Knowledge of Python and Spark - Strong SQL knowledge - Experience analyzing, cleaning, migrating and modeling data

- Experience analyzing, cleaning, migrating and modeling data - Experience using Azure or another cloud provider (AWS, GCP) Employment type

Posting record

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Status in our records: Live
First seen by us: Aug 14, 2026 · 76 days ago
Recorded sightings: 110
Last seen by us: Oct 29, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

Your next step

Have your resume and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the pay range before committing time to the process.

Complete your application on cfc.pinpointhq.com. The employer’s form will show what is required.

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Job description

View original posting ↗

CFC is on a journey to be a leader in data driven insurance. We are a leader in automated cyber insurance and will use data more and more as the bedrock of our business. In order to support this we are building a single data platform which will enable us to collect, share and use data across our business and with many user communities. This data platform will initially be used to support MDM requirements and over time will expand to provide core capability for leveraging data across our organisation. In order to support this initiative, we are looking to hire a Data Engineer who will play a significant role in delivering this capability.

Beyond the immediate use cases around the data platform, there are ample opportunities to influence the data approach to CFC and pioneer new initiatives to support the companies goals. We expect this role to be a mixture of hands-on development work and strategic thinking.

This is a great opportunity for an experienced data engineer to join a growing company at the forefront of data usage within the Insurance industry. You will be working with senior stakeholders to craft a new set of capabilities and have the opportunity to drive the direction and fundamentals of this platform.

About the role

What you'll be doing:

Working with multiple stakeholder communities to understand our data needs and create pipelines to take data between different layers in the platform
Ensuring the technical infrastructure is in place and appropriate to support managing the data platform and associated activities such as pipelines
Creating standards and patterns to ensure that future development adhere to a high-quality fit for purpose framework
Defining features and capabilities to move the dial on data usage within the insurance industry
Providing governance and consultancy to users of the data platform and data related questions

About you

5+ years working in a Data Engineering role
Knowledge of Python and Spark
Strong SQL knowledge
Experience analyzing, cleaning, migrating and modeling data
Experience using Azure or another cloud provider (AWS, GCP)

Employment type

Permanent - Full Time

Source details

View original posting ↗

Source notes

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Pay

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Location & working pattern

Texas, US - Texas

Working pattern and location restrictions need checking in the full posting.

Work authorization

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Open source at cfc.pinpointhq.com ↗Read the full description ↓

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