Hylant Group Inc

Senior Data Engineer

Hylant Group Inc • $110K — $130K *
Indianapolis, IN 46227In-Person
Information Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science, data science, or related field (desired)
  • 5-7+ years experience as a Data Engineer
  • Hands-on experience with Azure Databricks and Azure Data Factory
  • Strong proficiency in SQL and PySpark
  • Experience implementing data quality checks and validation
  • Experience with CI/CD pipelines, preferably Azure DevOps
  • Ability to troubleshoot complex data issues

Responsibilities

  • Design and maintain data transformation logic and analytics-ready datasets
  • Develop and monitor ETL/ELT pipelines using Azure tools
  • Create target schemas and curated tables based on architectural designs
  • Implement and enforce data governance and access controls
  • Conduct data profiling and validation to ensure data quality
  • Serve datasets through Databricks SQL and Power BI for reporting
  • Own the CI/CD process for Azure data platforms
  • Monitor and optimize data platform performance and cost
  • Participate in agile delivery processes

Benefits

  • Fully remote position open to U.S. candidates
  • Periodic in-person attendance for team meetings and collaboration
  • Home office work environment
  • Reasonable accommodation for individuals with disabilities
Full Job Description
The Opportunity:

The Data Engineer will build, integrate, and operationalize Hylant's enterprise data architecture on our Databricks and Azure platform. This role translates architectural designs and analytical requirements into reliable, scalable data pipelines and business-ready datasets. Working closely with the Lead Data Architect, the position ensures data solutions align to defined standards, patterns, and governance requirements.

In This Role You Will Execute On:
  • Design, build, and maintain data transformation logic, business rules, and analytics-ready datasets using Databricks notebooks, PySpark, and SQL.
  • Develop, orchestrate, and monitor ETL/ELT pipelines using Azure Databricks and Azure Data Factory, including scheduling, dependency management, and job performance tuning.
  • Create target schemas, curated tables, and analytics-ready data layers aligned to architectural designs and business requirements, including source-to-target mapping, historical data loads, and backfills for new data domains.
  • Implement and enforce data governance, security, and access controls within Unity Catalog - including group-based grants, attribute-based access policies, and row- and column-level security - in accordance with standards defined by the Data Architecture team.
  • Conduct data profiling, validation, reconciliation, and system integration testing to ensure end-to-end data quality, accuracy, and reliability; partner with source system owners and downstream consumers to investigate and resolve discrepancies.
  • Serve curated, trusted datasets through Databricks SQL and Power BI datasets to support operational, financial, and analytical reporting.
  • Own the CI/CD process for Databricks and Azure Data Factory using Azure DevOps Pipelines.
  • Monitor, tune, and optimize the data platform for performance and cost, including cluster sizing, autoscaling, and job execution efficiency.
  • Participate in agile delivery as part of the Data & Digital Solutions team, including sprint planning, backlog refinement, and delivery commitments.


In This Role You Will Need:
  • Bachelor's degree in computer science, engineering, data science, or a related field, or equivalent practical experience (desired).
  • 5-7+ years of experience as a Data Engineer, including designing, implementing, and validating production-grade data pipelines.
  • Hands-on experience with Azure Databricks, Azure Data Factory, Delta Lake, Unity Catalog, and core Azure cloud services.
  • Strong proficiency in SQL and PySpark for data transformation and pipeline development.
  • Experience implementing data quality checks, reconciliations, and validation processes in complex data environments.
  • Experience owning or contributing to CI/CD pipelines for data platforms (Azure DevOps Pipelines preferred).
  • Ability to troubleshoot and resolve complex data, pipeline, and performance issues.
  • Strong collaboration and communication skills, with the ability to bridge technical and non-technical stakeholders.
  • Insurance industry experience (brokerage, policy administration, claims, billing, underwriting, or risk data) preferred but not required.
  • Exposure to applying AI or automation within data engineering workflows a plus.
  • Exposure to PowerBI is a plus.
  • Must be legally authorized to work in the United States.


The Environment:
  • This is a fully remote position, open to candidates located within the United States.
  • Periodic in-person attendance may be required for team meetings, onsite collaboration, or other business-related functions; reasonable advance notice will be provided.
  • Work is generally performed in a home office or standard office environment with limited exposure to physical risk or physical effort required.
  • Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.


About Hylant Group Inc

Hylant is a full-service insurance brokerage firm with 16 offices in Ohio, Michigan, Illinois, Indiana, Tennessee, and Florida. The company offers a wide range of insurance products and services, including property and casualty, employee benefits, personal lines, and risk management consulting. Hylant serves clients in a variety of industries, including healthcare, construction, manufacturing, and transportation. The company was founded in 1935 and is headquartered in Toledo, Ohio.
Learn more about Hylant Group Inc
Size
1,000 employees
Industry
Finance & Insurance
Net Income
$10 million
5 Year Trend
+5%
Revenue
$2 billion
* Ladders Estimates

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