Data Ops, Data Builder

The Cigna Group

. Build architectural designs and business requirements into production-ready solutions through MVP .

Posted 10/19/2026full-timeRemote • United StatesMid-LevelSenior💰 $102,400 - $170,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building production-grade data solutions with a strong blend of business fluency and hands-on engineering discipline. Proficient in implementing CI/CD pipelines and applying AI and automation while ensuring data governance and quality.

Highest-signal resume keywords

Production-Grade Data SolutionsAnalytics EngineeringDatabricksCI/CD PipelinesDimensional Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonSparkData GovernanceAutomated Data-Quality TestingPerformance-TuningCost-Optimizing TransformationsReusable CodeDimensional ModelingMedallion Modeling

Soft Skills

Business FluencyQuick LearningCollaboration

Tools & Technologies

Unity CatalogSnowflakeTeradataCollibraGit

Industry Keywords

Healthcare DataPBM DataRegulated Enterprises

Tech Stack

Tools & technologies

PythonSparkSQLUnity

About the role

Key responsibilities & impact

Build architectural designs and business requirements into production-ready solutions through MVP
Quickly work new and unfamiliar data into solutions answering business questions
Refactor learning-stage and bespoke work into durable, reusable, production-ready assets
Build physical Silver structures according to Data Architecture’s enterprise-agnostic Silver model and reference patterns
Implement designs and promote solutions to production through governed CI/CD pipelines
Capture business context and metadata at build and hand off to partner teams
Build and deliver democratized Gold data solutions through MVP
Uphold Gold-layer build standards and guardrails across owning teams
Develop, test, and productionize work through CI/CD while clearing quality, security, and cost checks
Apply AI and automation to accelerate build and testing without bypassing governance
Partner with Data Architecture, Data Analysis, Products & Integration, Platform Engineering, IT, DevOps, AI Enablement, data science, and business analytics teams
Set design and hold Data Operations standards across the Hyderabad Data Operations team and external service partners
Deliver trusted, production-grade data assets in a short cycle time

Requirements

What you’ll need

3+ years building production-grade data solutions
Demonstrated depth in analytics engineering or equivalent business-plus-build work
Genuine 50/50 blend of business fluency and hands-on engineering discipline
Hands-on experience with Databricks, Spark, Unity Catalog, SQL, and Python
Familiarity with Snowflake and Teradata
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 Git, code review, and efficient reusable code
Experience performance-tuning and cost-optimizing Spark and SQL transformations at scale
Familiarity with data governance and cataloging tools such as Collibra
Automated data-quality testing and validation
Ability to learn a new data domain quickly and turn business logic into reusable data products
Ability to apply AI and automation while preserving quality and governance
Experience in complex, regulated enterprises preferred
Healthcare or PBM data a plus
Home internet connection through cable broadband or fiber optic service with at least 10Mbps download/5Mbps upload when working at home

Benefits

Comp & perks

Annual bonus plan eligibility
Medical insurance
Vision insurance
Dental insurance
Well-being and behavioral health programs
401(k)
Company-paid life insurance
Tuition reimbursement
Minimum of 18 days of paid time off per year
Paid holidays
Leaves of absence
Remote work arrangement
Cable broadband or fiber optic internet service with at least 10Mbps download/5Mbps upload for home workers