Data Ops - Data Builder

The Cigna Group • Remote,

5d • $102,400 - $170,600

About The Position

The Data Builder is a hands-on individual contributor who turns architectural designs and business requirements into trusted, reusable data products, delivering through MVP and building to production-grade standards. The role builds against the enterprise-agnostic Silver foundation designed by Data Architecture and co-designs and builds Gold data products that contain business logic, metrics, and functional knowledge. It is an execution counterpart to Data Architecture and Data Analysis, Products & Integration, helping shorten the path from new data to production-ready, reusable assets.

The role partners with Data Architecture, Data Analysis, Products & Integration, Platform Engineering / IT, DevOps & AI Enablement, data science, and business analytics teams. It sets and maintains Data Operations build standards across the Hyderabad Data Operations team and external service partners as part of a global delivery model.

This role is not a pure data engineering or platform role; it does not own the enterprise Silver model or the democratized Gold layer, and it is not primarily a business-engagement, governance-policy, stewardship, or BI-reporting role. Success includes getting new data to a trusted, production-grade asset in a short cycle time. The position anticipates an annual salary of $102,400–$170,600, depending on relevant factors, and eligibility to participate in an annual bonus plan. For occasional or permanent work from home, the internet connection must be cable broadband or fiber optic with speeds of at least 10 Mbps download and 5 Mbps upload.

Requirements

• At least 3 years of experience building production-grade data solutions, with demonstrated depth in analytics engineering or equivalent business-plus-build work.
• A balance of business fluency and hands-on engineering discipline.
• Hands-on experience with Databricks, Spark, Unity Catalog, SQL, and Python.
• Familiarity with Snowflake and Teradata in addition to a Databricks-first stack.
• 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 efficient, reusable code.
• Ability to performance-tune and cost-optimize Spark and SQL transformations at scale.
• Familiarity with data governance and cataloging tools such as Collibra.
• Experience building automated data-quality testing and validation into solutions.
• Ability to learn a new data domain quickly and turn business logic into reusable data products.
• Ability to apply AI and automation to accelerate building while preserving quality and governance.

Nice To Haves

• Experience in complex, regulated enterprises.
• Healthcare or PBM data experience.

Responsibilities

• Build architectural designs and analysis requirements into production-ready solutions through MVP.
• Work new and unfamiliar data quickly into a working solution that answers the business question.
• Refactor learning-stage and bespoke work into durable, reusable, production-ready assets.
• Build physical Silver structures to the enterprise-agnostic Silver model and reference patterns designed by Data Architecture.
• Implement Silver designs faithfully and promote them to production through governed CI/CD pipelines.
• Capture business context and metadata during development and hand off to trusted partner teams as readiness allows.
• Deliver Gold solutions through build-through-MVP and promote them to production-grade through governed CI/CD pipelines, regardless of ownership.
• Uphold build standards and guardrails for Gold solutions so the federated Gold layer remains stable and production-grade across owning teams.
• Build to production standards from day one, applying consistent development patterns, naming conventions, and build standards, with a focus on connectivity across data products.
• Move work through CI/CD pipelines by developing, testing, and productionizing solutions, clearing quality, security, and cost checks on the first pass.
• Apply AI and automation to accelerate building and testing without bypassing governance, security, or quality expectations.
• Partner with Data Architecture to build to Silver designs and co-design Gold products within established standards.
• Partner with Data Analysis, Products & Integration to build against requirements, business rules, and acceptance criteria.
• Partner with Platform Engineering / IT and DevOps & AI Enablement, building on their ingestion, pipelines, and automation frameworks.
• Partner with data science and business analytics teams to ensure Gold data products support their models, analyses, and decisions.
• Set the design and maintain Data Operations standards across the Hyderabad Data Operations team and external service partners.

Benefits

• Annual bonus plan eligibility.
• Medical benefits.
• Vision insurance.
• Dental insurance.
• Well-being and behavioral health programs.
• 401(k).
• Company-paid life insurance.
• Tuition reimbursement.
• At least 18 days of paid time off per year.
• Paid holidays.
• Leaves of absence.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed