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Data Ops, Data Builder

Job not on LinkedIn

🔥 16 hours ago

🇺🇸 United States – Remote

💵 $102.4k - $170.6k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

⚙️ Operations

👻 Ghost score 0%

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Logo of The Cigna Group

The Cigna Group

10,000+ employees

Founded 1982

🏥 Healthcare

⚕️ Healthcare Insurance

💊 Pharmaceuticals

Healthcare • Healthcare Insurance • Pharmaceuticals

The Cigna Group is a global health company committed to improving the health and vitality of its clients, customers, and patients. With its two divisions, Cigna Healthcare and Evernorth Health Services, the company focuses on enhancing quality of life through healthcare services and pharmacy benefits management. The Cigna Group is dedicated to ethical practices in healthcare and artificial intelligence, and strives to create positive change in the healthcare system. It also emphasizes its Environmental, Social, and Governance (ESG) responsibilities, aiming to impact health equity and foster innovation in healthcare delivery.

📋 Description

• Build architecture designs and analysis requirements into production-ready solutions through MVP • Work new and unfamiliar data quickly into working solutions that answer business questions • Refactor learning-stage and bespoke work into durable, reusable, production-ready assets • Build physical Silver structures to the enterprise-agnostic Silver model and Data Architecture reference patterns • Implement designs faithfully and promote solutions to production through governed CI/CD pipelines • Capture business context and metadata at build and hand off to trusted partner teams • Build and deliver democratized Gold data solutions through MVP and promote them to production grade • Uphold build standards and guardrails for stable, production-grade federated Gold data assets • Build to production standards from day one • Apply consistent development patterns, naming conventions, and build standards across data products • Develop, test, and productionize work through CI/CD pipelines while clearing quality, security, and cost checks • Apply AI and automation to accelerate build and testing without bypassing governance, security, or quality expectations • Partner with Data Architecture, Data Analysis, Products & Integration, Platform Engineering, IT, DevOps & AI Enablement, data science, and business analytics teams • Set the design and hold Data Operations standards across the Hyderabad Data Operations team and outside service partners as part of a global delivery model

🎯 Requirements

• 3+ years building production-grade data solutions, with 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 version control (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 tooling such as Collibra • Automated data-quality testing and validation built into every solution • Ability to learn a new data domain quickly and turn business logic into reusable data products • Ability to apply AI and automation to accelerate build while preserving quality and governance • Experience in complex, regulated enterprises preferred • Healthcare or PBM data a plus • Home internet connection, if working at home, obtained through cable broadband or fiber optic service with at least 10 Mbps download/5 Mbps upload

🏖️ Benefits

• 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

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