{"id":134682,"url":"https://alion.io/job/cohere-health-sr-data-engineer","title":"Sr. Data Engineer","company":{"id":48018,"name":"Cohere Health","domain":"coherehealth.com","url":"https://alion.io/company/cohere-health","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":85,"open_postings":10,"ghost_share":0,"stale_share":0.4,"repost_share":0,"time_to_fill_p50_days":60,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":41000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":59},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Cohere SDK","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-06-04T22:56:28Z","employer_posted_date":"2026-07-31","last_verified_at":"2026-10-17T20:31:26Z","board_verified":true,"closed_at":null,"days_open":134,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":134},"description":"Opportunity Overview:\nWe are seeking a Sr. Data Engineer to help drive the technical vision of our Data Engineering team as we scale our infrastructure, services, and architecture. This role is ideal for someone who blends deep technical expertise with strategic thinking and cross-functional influence.\nAs a Sr. Data Engineer, you will partner closely with other data and analytics engineers, architects, product leaders, and business stakeholders to evolve our data infrastructure in support of high-trust, scalable, and business-aligned outcomes. You’ll also serve as a force multiplier across teams; raising the bar for data engineering excellence and accelerating the maturity of our data platform capabilities.\nWhat you’ll do:\nDevelop, and maintain robust ETL/ELT pipelines to ingest, transform, and load data from multiple source systems into enterprise data platforms. \nEnsure pipelines are scalable, reusable, fault-tolerant, and optimized for batch and near real-time processing requirements.\nDevelop interactive dashboards, scorecards, and KPI reporting solutions using BI tools. Deliver executive, operational, and analytical reporting aligned with business goals.\nIdentify repetitive manual reporting processes and automate them using scripting, workflow orchestration, scheduling tools, and dashboard refresh mechanisms to improve efficiency, accuracy, and turnaround time.\nCollaborate with internal stakeholders and leadership teams to understand data integration and reporting needs, define KPIs, document business rules, and translate requirements into scalable technical solutions.\nImplement data validation checks, reconciliation controls, lineage documentation, metadata standards, and governance policies to maintain trusted, secure, and compliant data assets across the organization.\nProvide technical guidance, code reviews, best practices, and mentor junior team members.\nInvestigate and resolve production incidents related to pipelines, delayed reports, data mismatches, access issues, and system bottlenecks. Perform root cause analysis and implement preventive fixes.\nContinuously improve platform reliability, performance, scalability, observability, security, and cost efficiency through engineering excellence and proactive monitoring.\nISMS roles and responsibilities:\nGood knowledge of Information practices.\nAssist the manager in all the information security activities implementation and maintenance process.\nEnsuring the team and imparted with Competence related to Information security\nResponsible for implementation of security policies and procedures and report any issues to the Information Security Manager.\nRequired Qualifications:\n5+ years of experience in Data Engineering demonstrating expertise in designing scalable data platforms, building robust ETL/ELT pipelines, optimizing data workflows, implementing cloud-based solutions, and delivering reliable, high-performance data systems that support business growth and analytics needs.\n5+ years of experience in developing automated data ingestion pipelines that integrate data sourced from multiple streams into enterprise platforms through cleansing, transformation, validation, and scheduled batch or near real-time processing workflows.\nStrong proficiency in writing and tuning advanced SQL queries, views, and data models to improve report performance and reduce processing time by monitoring indexing, partitioning, query plans, and database resource utilization.\n5+ years of proven expertise in cloud-based, distributed environments (e.g., AWS, EMR, Glue, Iceberg, dbt, Lambda, Athena).\nDemonstrated experience designing and managing secure client data integrations, including inbound and outbound file exchanges, SFTP transfers, API-based data ingestion, and reliable end-to-end data delivery between client systems and internal platforms.\nFluency in modern data architecture patterns, including medallion/lakehouse models, schema evolution, streaming ingestion, and batch orchestration.\nFamiliarity with reporting and dashboarding tools such as AWS QuickSIght or Tableau.\nDesigned and maintained low-latency, high-availability data pipelines to support near real-time processing, timely reporting, and reliable downstream data consumption.\nMonitored production pipelines and triaged data incidents by performing root cause analysis, resolving failures, fixing data quality issues, and ensuring SLA adherence.\nImplemented strong data governance, observability, and quality controls including schema validation, lineage tracking, alerting, reconciliation checks, and policy-based access management.\nKnowledge of CI/CD pipelines, version control, and DevOps practices using GitHub, AWS code pipeline.\nBachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.\nAbility to commute/relocate:\nHyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred)\nInterview Process*:\nConnect with Talent Acquisition \nMeet with the Hiring Manager\nBehavioral Interview(s)\nCase Study\nInterview with Senior Leadership\n*Subject to change\nAbout Cohere Health:\nCohere Health’s clinical intelligence platform and agentic AI-powered solutions connect health plans’ strategic goals and providers’ needs, optimizing the speed, cost, and quality of care. With an enterprise approach that streamlines payer-provider decision-making across the care continuum-including policy, prior authorization, payment accuracy, and more-the company improves collaboration and reduces burden, resulting in up to 8x ROI and 94% provider satisfaction. \nWith the acquisition of ZignaAI, we expanded our AI-native platform with a comprehensive Payment Integrity Suite that spans data mining, clinical and coding validation, authorization and claims reconciliation, and end-to-end payment integrity services across pre- and post-pay workflows. By connecting clinical and payment insights, our transparent, AI-powered solutions help health plans proactively improve payment accuracy, reduce waste and vendor dependency, strengthen provider relationships, and build smarter, more efficient payment integrity programs.\nCohere Health’s innovations continue to receive industry-wide recognition. We’ve been recognized on TIME’s World Top HealthTech Companies 2025 list, the 2025 Inc. 5000 list, in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024.\nWe can’t wait to learn more about you and meet you at Cohere Health!\nEqual Opportunity Statement: \nCohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. 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