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Job Description OVERVIEW/GENERAL PURPOSE OF POSITION

The Lead Data Engineer is both a technical authority and individual contributor for delivery, and continuous improvement of healthcare data products and platform components. With a proven track record of architecting secure, high-throughput pipelines and directing the work of high-performing teams (5–8 engineers), they are responsible for translating business strategy into data engineering execution. They guide the team in the adoption of tools like AWS Glue, Iceberg, SageMaker, and feature flag frameworks while ensuring HIPAA and HITRUST compliance. In Scrum, they act as a bridge across departments—aligning engineering, data science, and product in sprint planning and delivery—with a strong emphasis on clear communication, documentation, and team empowerment.

ESSENTIAL DUTIES AND RESPONSIBILITIES

+ Architect and lead the adoption of serverless data platforms, integrating services like AWS Glue, Lambda, DynamoDB, and Lakehouse Formation.

+ Lead GitOps strategy for infrastructure and pipeline deployment, ensuring compliance, rollback safety, and peer-reviewed workflows.

+ Establish best practices for feature flag toggling strategies in critical data pipelines.

+ Drive internal knowledge sharing and technical writing culture, including mentoring junior staff on documentation standards.

+ Thrives in collaborative team environments and takes pride in mentoring junior team members by providing guidance, support, and best practices.

+ Adept at designing scalable architectural solutions while effectively communicating complex concepts to both technical and non-technical audiences. Skilled in tailoring messaging and presentation style based on audience needs to ensure clarity, alignment, and impact across stakeholders.

+ Owns technical environment and tooling strategy across the data engineering organization. This role ensures standards, documentation, and collaboration practices are in place and consistently applied.

+ GitHub (repo standards)

+ AWS Console (Glue, Iceberg, EMR, IAM governance)

+ Jupyter/Python IDE (advanced notebook-based development)

+ Lucidchart (platform-wide architecture)

+ Microsoft Teams/Zoom (engineering leadership, stakeholder updates)

+ Jira & Confluence (governance documentation, delivery tracking)

REQUIREMENTS – Knowledge, Skills, and Abilities:

+ Excellent written, verbal, and interpersonal communication skills.

+ Excellent organizational skills and attention to detail.

+ Excellent documentation skills.

+ Team player.

+ Excellent management skills.

+ Ability to provide clear and accurate information through multiple media.

+ Ability to extrapolate, from historical trends, future volumes, and staffing needs.

+ Ability to manage open requests and follow up when necessary, without outside direction.

+ Ability to manage time effectively with strong attention to detail.

+ Ability to read and interpret documents including safety rules, operating and maintenance instructions, procedure manuals and general correspondence.

+ Ability to write routine reports and correspondence.

+ Ability to deal with problems involving several concrete variables in standardized situations.

+ Ability to interact politely, tactfully, and firmly with a wide range of people and personalities.

+ Ability to work in an environment with potential interruptions.

+ Ability to manage multiple simultaneous tasks with individual timeframes and priorities.

+ Ability to motivate and encourage a team of front-line employees.

+ Ability to set and manage expectations for a team

Technical Skills

+ Python, PySpark, Scala (10+ yrs) – Directed large-scale data platform development with an emphasis on modularity and performance.

+ Airflow (6+ yrs) – Defined standards for DAG design, observability, and reusability across the team.

+ AWS (Glue, EMR, Lambda, Step Functions) (5+ yrs) – Oversaw hybrid orchestration strategies using serverless and EMR-based pipelines.

+ Iceberg (4–5 yrs) – Led lakehouse strategy including governance, versioning, and cost optimization.

+ Deep expertise in designing and optimizing data lake and lakehouse architectures at scale, including governance, schema evolution, cost efficiency, and access control.

+ Leads strategy and implementation of hybrid lakehouse ecosystems leveraging technologies like Iceberg, Delta Lake, and catalog services across multiple environments (e.g., dev, staging, prod).

+ Directed team of data engineers of 5–8 engineers, driving architecture decisions, enforcing engineering standards, and championing Agile delivery practices within a high-performance data engineering environment.

+ Docker/Kubernetes (6–8 yr) – Oversaw Kubernetes-based orchestration for enterprise data pipelines, established Docker standards across teams and integrated container practices with compliance and DevOps strategies.

Education and Experience

+ Degree: Bachelor’s Degree

+ Preferred major / area of study: Computer Science, Engineering or a related field of study or equivalent experience

+ Number of years of experience:10+ years in data engineering roles. Type of experience:

+ Extensive experience working with large-scale data systems and cloud-based architectures (AWS).

+ Prior experience with healthcare or regulated datasets strongly preferred.

The expected base salary for this position ranges from $125K-150K USD with a bonus target of up to X% of the base salary. While it is not typical to offer candidates at or near the top of the range, we do consider a wide range of factors when making offer decisions, including (but not limited to) the scope and responsibilities of the position, a candidate’s relevant skills, training, experience, education and where applicable, licensure and certifications obtained. We also consider organizational and market factors when making offer decisions. This range is a general guideline and represents a good faith estimate of what we would reasonably expect to pay for this position. We reserve the right to modify this range in the future as organizational and market conditions dictate.

At Convey, we believe that the right benefits package can improve the quality of our employees and their family members’ lives. Therefore, we offer a competitive total rewards package, which includes health and welfare benefits, 401(K) savings with employer matching, paid time off, life, AD&D and disability insurances, and various ancillary benefits, such as pet insurance, virtual physical therapy, and employee assistance programs.

About Us

WHO WE ARE

Convey Health Solutions manages a myriad of administrative needs and make it easier for health plans to operate and provide valuable experiences for their members. How so? We focus on building specific technologies and services that uniquely meet the needs of government-sponsored health plans.

OUR MISSION

To improve health plan operations and elevate the customer experience.

OUR VISION

Empowering health plans to excel through technology, service and advisory experience.

OUR VALUES

Integrity First - Inspired Teamwork - Compliance Matters