Data Ops Data Builder

Cigna

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Connecticut
Salary
$102,400–$170,600 / yr
Employment
Full-time
Posted
8 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $169k
This role $136k
$89k $224k
below market most similar roles pay here above market

This role pays less than 61% of similar roles. Most pay $126,750–$211,200 — the blue band above. At the midpoint, this role pays about $136k versus about $169k for comparable roles.

Based on 240 similar postings.

Employer

About Cigna

The Cigna Group is a global health company, rebranded in 2023, that serves over 185 million customer relationships across 30+ countries.

Cigna currently has 86 open roles on FindRole.

Listed pay typically runs $148,950–$205,800 across 32 roles with salary data.

Most-posted roles

View all roles at Cigna

At a glance

TL;DR · Data Ops Data Builder

JOB TITLE: Data Ops - Data Builder The Data Ops - Data Builder joins the Data Operations team to serve as a hands-on individual contributor responsible for transforming architectural designs and business requirements into production-grade, reusable data products. This role involves building physical Silver structures based on enterprise-agnostic models and co-designing Gold data products that house business logic and metrics. The successful candidate will use a Databricks-first stack including Spark, Unity Catalog, SQL, and Python, while maintaining familiarity with Snowflake and Teradata. Key responsibilities include authoring code through governed CI/CD pipelines, applying AI and automation to accelerate builds, and performing performance-tuning for Spark and SQL transformations. The role solves the technical challenge of compressing the path from raw data to production-ready assets within a complex, regulated healthcare and PBM data environment.

What you'll do

  • Build production-ready data solutions by converting architectural designs and business requirements into reusable data products.
  • Develop physical Silver structures following enterprise-agnostic models and reference patterns.
  • Author Gold data products that incorporate specific business logic, metrics, and functional knowledge.
  • Promote data solutions to production through governed CI/CD pipelines while meeting quality and security checks.
  • Refactor bespoke and learning-stage work into durable, production-grade assets.
  • Apply AI and automation to accelerate build and testing processes without bypassing governance.
  • Performance-tune and cost-optimize Spark and SQL transformations at scale.
  • Establish and uphold data operations standards across global delivery teams and outside service partners.

What we're looking for

  • 3+ years of experience building production-grade data solutions with depth in analytics engineering or equivalent business-plus-build work.
  • Hands-on experience with Databricks, Spark, Unity Catalog, SQL, and Python.
  • Familiarity with Snowflake and Teradata in addition to a Databricks-first stack (preferred).
  • Expert knowledge of dimensional and medallion (Silver/Gold) modeling within an enterprise-agnostic data model.
  • Working knowledge of CI/CD pipelines, automated code evaluation, and controlled promotion to production.
  • Strong software-engineering discipline including version control (Git), code review, and writing efficient, reusable code.
  • Ability to perform performance-tuning and cost-optimizing Spark and SQL transformations at scale.
  • Experience in complex, regulated enterprises, specifically healthcare or PBM data (preferred).

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