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The Hartford · 8 hours ago

Data Engineer

Chicago, IL

Full-time

Hybrid

Entry, Mid Level

$101K/yr - $151K/yr

2+ years exp

The Hartford is seeking a Data Engineer within Global Specialty Data Science & Analytics to design, develop, and implement modern and sustainable data assets. The role involves participating in the software development lifecycle to support continuous data delivery and building innovative solutions that drive business value.

Auto InsuranceCommercial InsuranceEmployee BenefitsFinanceFinancial ServicesInsuranceLife InsuranceProperty Insurance

No H1B

Responsibilities

Participate in developing high quality, scalable software modules for next generation analytics solution suite

Engage in activities with cross-functional IT unit stakeholders (e.g., database, operations, telecommunications, technical support, etc.)

Formulates logical statements of business problems and devises, tests and implements efficient, cost-effective application program solutions

Identify and validate internal and external data sources for availability and quality. Work with SMEs to describe and understand data lineage and suitability for a use case

Create data assets and build data pipelines that align to modern software development principles for further analytical consumption. Perform data analysis to ensure quality of data assets

Perform preliminary exploratory analysis to evaluate nulls, duplicates and other issues with data sources

Assist in developing code that enables real-time solutions to be ingested into front-end systems and platforms

Produce code artifacts and documentation using GitHub for reproducible results and hand-off to other data science teams

Qualification

PythonSQLETLUnixGitCloud data warehousesAutomation toolsCommunication skillsProblem-solving

Required

2+ years of relevant experience recommended

Bachelor's degree in Computer Science, Engineering, IT, Management Information Systems, or a related discipline

Experience in Python and SQL

Experience in ingesting data from a variety of structures including relational databases, Hadoop/Spark, cloud data sources, XML, JSON

Experience in ETL concerning metadata management and data validation

Experience in Unix and Git

Experience in Automation tools (Autosys, Cron, Airflow, etc.)

Able to communicate effectively with both technical and non-technical teams

Able to translate complex technical topics into business solutions and strategies

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position