Hybrid Data Engineer for Finance & Insurance Analytics

Ascot Group

Phoenix (AZ)

Hybrid

USD 95,000 - 110,000

Full time

14 days+

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Benefits offered by this job

Health and welfare benefits

Leave benefits

Retirement benefits

Job summary

Ascot Group in Phoenix, AZ is seeking a Data Engineer to support data warehouse projects, including Phinsys and the Data & Integration Hub. The role involves analysis, development, testing, and ongoing support in a hybrid office setting.

The position requires 2+ years of data engineering/analysis experience, strong SQL, ETL tooling (SSIS/Informatica/ADF), and a solid understanding of financial data concepts within insurance. Collaboration and problem solving are key.

Qualifications

Bachelor’s degree in information systems, Computer Science, Data Analytics, or a related field.
2+ years of experience as a Data Analyst/Engineer for a large Data Warehouse working with large data sets.
Some ETL Tool experience; SSIS, Informatica, ADF.
Some experience in the Commercial and/or Specialty insurance industry is desired.
An understanding of financial data and concepts.
Analytical, rigorous, with attention to detail.
Proven SQL skills.
Proven experience using SQL to identify and correct data issues.
Some Database knowledge, preferably SQL Server, Synapse.
Capable scripting/SQL skills to perform ETL, data/file validation, analysis, and profiling.
Minimal ability to create, read, understand, and interpret Data Models.
Code maintenance and review experience in one or more general purpose languages.
Understanding insurance domain data models, desired.

Responsibilities

Serve as a Data Engineer Level 1 for projects, enhancements, and production support.
Be responsible for all analysis and support of assigned projects to include hands-on development.
Assist in establishing work estimates based on business requirements through participation in project feasibility, scoping, and estimating activities.
Assist in the high/low level designs and technical specifications that can be accurately executed.
Validate accuracy/quality of data integrations generated from ETL specifications. Ensure data model specifications are met.
Assist with hands-on design, development and testing for the most complex data related work.
Coordinate/lead production implementations to ensure smooth, quality releases.
Participate in the delivery of new warehouse sources/tables/mart etc. while leveraging existing company standards.
Coordinate Ascot and Vendor resources to ensure high quality and timely deliverables.
Think independently and creatively to streamline work and root out inefficiencies.
Find opportunities to increase speed and quality of output. Must be able to articulate ideas and turn those ideas into new capabilities, performance improvements, and quality improvements.
Anticipate and report technical and organizational roadblocks.
Commitment to The Ascot Way: Embody The Ascot Way in their daily interaction with colleagues, fostering colleague engagement and development, collaboration, inclusivity, and individual accountability.