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Sr. Data Infrastructure Engineer

Role overview

Qualifications

  • Minimum of five (5) years of experience in Cloud based Data Infrastructure, Database Engineering, or related roles.
  • Minimum of five (5) years of hands-on experience with AWS Data Services (Aurora, RDS, S3, IAM, Lambda, Glue, Athena, etc.).
  • Strong experience with PostgreSQL/Aurora and Snowflake or similar modern data platforms.
  • Proficiency in SQL and scripting or programming languages (Python, Shell, etc.), with hands-on experience using Terraform and GitLab to build and operate CI/CD pipelines for data infrastructure automation.

Responsibilities

  • Design, build, and maintain scalable data infrastructure on AWS using technologies such as Aurora PostgreSQL, RDS, S3, and Snowflake; implement and operate core data systems across ingestion, transformation, storage, and orchestration layers.
  • Ensure high levels of reliability, performance, availability, and cost efficiency of data platforms and environments; apply and promote best practices in data modeling, observability, infrastructure as code (IaC), and CI/CD automation.
  • Partner with application, analytics, and AI teams to enable efficient and self-service data access and usage; participate in design reviews, contribute to technical standards, and mentor junior engineers.
  • Troubleshoot production issues and drive continuous improvements in data platform operations; participate in on-call rotations and off-hours incident response when required.

About the company

Lyric  - Clarity in motion. logo

Lyric - Clarity in motion.

Welcome. Let us help bring your health plan's payment accuracy programs into the next era. Learn more by visiting Lyric.AI Welcome to Lyric. Building on the legacy of ClaimsXten, we bring over 35 years of expertise to deliver unmatched value to our clients, including 9 of the top 10 health payers nationwide. Our cutting-edge solutions streamline complex claims processes, ensuring precision and efficiency for over 185 million lives under our care. We've earned to the 2025 Best in KLAS award for our partnership excellence and value, we lead with top customer satisfaction scores and recommendation rates. Apart from our market-leading pre-pay claim editing services, Lyric is at the forefront of integrating advanced technologies to drive greater savings and administrative cost savings through the payment integrity value chain. This includes strategic partnerships with leaders in the areas of genetic testing claims accuracy, coordination of benefits, and more. Whether you are a current valued customer or new to Lyric, we are investing in helping health plans simplify the business of care. Visit us at Lyric.AI

Company details

Company size201 - 500

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Job description

Lyric is an AI-first, platform-based healthcare technology company, committed to simplifying the business of care by preventing inaccurate payments and reducing overall waste in the healthcare ecosystem, enabling more efficient use of resources to reduce the cost of care for payers, providers, and patients. Lyric, formerly ClaimsXten, is a market leader with 35 years of pre-pay editing expertise, dedicated teams, and top technology. Lyric is proud to be recognized as 2025 Best in KLAS for Pre-Payment Accuracy and Integrity and is HI-TRUST and SOC2 certified, and a recipient of the 2025 CandE Award for Candidate Experience. Interested in shaping the future of healthcare with AI? Explore opportunities at lyric.ai/careers and drive innovation with #YouToThePowerOfAI.

Applicants must already be legally authorized to work in the U.S.  Visa sponsorship/sponsorship assumption and other immigration support are not available for this position.

The Senior Data Infrastructure Engineer designs, builds, and scales reliable data platforms that power online transaction processing, analytics, machine learning, and business intelligence. This role focuses on architecting robust cloud-native data infrastructure, optimizing performance and cost, and ensuring high availability and security of data systems. The engineer will be part of the cloud data team within engineering operations and will work closely with data, engineering, and product teams while providing technical expertise and mentorship.

ESSENTIAL JOB RESPONSIBILITIES & KEY PERFORMANCE OUTCOMES

  • Design, build, and maintain scalable data infrastructure on AWS using technologies such as Aurora PostgreSQL, RDS, S3, and Snowflake.
  • Implement and operate core data systems across ingestion, transformation, storage, and orchestration layers.
  • Ensure high levels of reliability, performance, availability, and cost efficiency of data platforms and environments.
  • Apply and promote best practices in data modeling, observability, infrastructure as code (IaC), and CI/CD automation.
  • Support and scale distributed data systems (e.g., PostgreSQL/Aurora, Snowflake, Kafka, caching) across environments.
  • Partner with application, analytics, and AI teams to enable efficient and self-service data access and usage.
  • Participate in design reviews, contribute to technical standards, and mentor junior engineers.
  • Troubleshoot production issues and drive continuous improvements in data platform operations.
  • Support operational excellence by participating in on-call rotations and off-hours incident response when required.

REQUIRED QUALIFICATIONS

Required (quantifiable from resume/application):

  • Minimum of five (5) years of experience in Cloud based Data Infrastructure, Database Engineering, or related roles.
  • Minimum of five (5) years of hands-on experience with AWS Data Services (Aurora, RDS, S3, IAM, Lambda, Glue, Athena etc.).
  • Strong experience with PostgreSQL/Aurora and Snowflake or similar modern data platforms.
  • Proficiency in SQL and scripting or programming languages (Python, Shell, etc.).
  • Hands-on experience using Terraform and GitLab to build and operate CI/CD pipelines for data infrastructure automation.
  • Demonstrated experience optimizing database performance and operating high-throughput data systems.

PREFERRED QUALIFICATIONS

  • Experience with real-time or streaming data platforms (Kafka, Databricks).
  • Exposure to data governance, lineage, and compliance frameworks (HIPAA, SOC2).
  • Familiarity with analytics workflow using orchestration tools (Airflow, dbt).
  • Experience supporting database migrations from Oracle RDS to modern data stores (Aurora PostgreSQL, Snowflake).
  • Exposure to OpenSearch, Cassandra, or other distributed data systems.
  • Familiarity with GCP or Azure in addition to AWS.
  • Strong communication skills and ability to collaborate across technical and non-technical teams.
  • Prior experience in healthcare or regulated industries is a plus.


***The US base salary range for this full-time position is:

$122,425.00 - $183,638.00

The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. Please note that the compensation details listed in US role postings reflect the base salary only, and does not reflect the value of the total rewards compensation. ***

Lyric is an Equal Opportunity Employer that strives to create an inclusive environment, empower employees and embrace collaborative success.

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Marcus Rivera

Chief Revenue Officer

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