WellBe Senior Medical Logo

WellBe Senior Medical

Senior Data Engineer

Posted 7 Days Ago
Remote
Hiring Remotely in US
105K-150K Annually
Senior level
Remote
Hiring Remotely in US
105K-150K Annually
Senior level
Leads data engineering strategy and mentors an analytics engineering team. Designs scalable ELT pipelines, warehouse integrations, data models, API ingestion workflows, and data quality frameworks using cloud and database technologies. Conducts exploratory analysis, supports dashboards and analytical solutions, monitors warehouse performance and costs, and ensures data governance, security, and compliance. Collaborates with data scientists, analysts, engineers, and business stakeholders to deliver healthcare analytics solutions.
The summary above was generated by AI
Job Summary

As a Senior Data Engineer at WellBe you will play a pivotal role in collecting, processing, and analyzing large datasets to derive meaningful business insights. You will collaborate with cross-functional teams, including data scientists and business analysts, to develop data pipelines, create interactive dashboards, and implement analytical solutions. This position requires a blend of technical expertise, creativity, and a keen understanding of business processes. You will supervise a team of Data Engineers, Data Integration Specialists and Data Analysts to build scalable, robust analytics systems to solve complex healthcare challenges.

Job Description

SKILLS & COMPETENCIES

• Coach and mentor the Analytics Engineering team: guiding, planning, and reviewing the team’s work.• Collaborate with senior management to define and execute the company's data pipeline strategy, aligning it with business objectives and ensuring data governance principles are followed.• Design and develop ELT pipelines and transformations for publication of scalable warehouse integrations to be used for higher level analytics. • Conduct exploratory data analysis, identify patterns, trends, and outliers, and translate complex data into actionable insights and visualizations.• Develop and implement data models to support analytical solutions, ensuring scalability, efficiency, and accuracy.• Work closely with data scientists, business analysts, and stakeholders to understand business requirements and translate them into analytical solutions. Collaborate with the engineering team to integrate analytical solutions into production systems.• Monitor usage and performance of warehouse resources and implement creative solutions for improving performance and reducing costs of said resources• Stay updated with the latest technologies and trends in data analytics and engineering.


Job Requirements

Educational/Experience Requirements:

• Bachelor's or advanced degree in Computer Science, Information Management, Data Science, or a related field. Master's degree preferred. • 7+ years of experience in data and analytic engineering, with a track record of progressively increasing responsibilities. • 3 years of experience in health care and health plan data analysis experience preferred. • Proficiency in using data processing frameworks (e.g., Snowpipe, Fivetran), databases (e.g. Snowflake, MSSQL) and GCP cloud. • Experience with ETL tool such as SSIS, Talend, DataFlow, or AWS Glue required. • Experience building pipelines in Azure Data Factory required. • Experience building API data ingestion pipeline using Python in cloud service required. • Snowflake data processing with Tasks and Procedures, DBT and GIT experience required. • Experience with CI/CD Terraform or DevOps required. • Knowledge of machine learning concepts and algorithms is a plus. • Strong leadership and team management skills, with the ability to motivate and develop team members. • Excellent communication and interpersonal skills, with the ability to collaborate effectively across departments.

Required Skills and Abilities:

• Fluency in SQL, DBT and Snowflake. Some development experience in at least one scripting language (Python, R, etc.) is a plus. • Advanced knowledge of Enterprise Reporting and Analysis tools, SQL, and visual analytic applications. • Evaluate and implement data integration technologies and tools to ensure seamless data flow and interoperability. • Experience implementing best practices for data governance and ensuring data security and compliance. • Implement processes to monitor and improve data quality through regular data cleansing, validation, and enrichment activities. • Work closely with analytics teams to define data requirements and create a data quality framework that supports advanced analytics, reporting, and visualization. • Foster a data-driven culture by promoting the use of data insights to drive business decisions and innovation. • Lead and mentor a team of data professionals, providing guidance, performance evaluations, and professional development opportunities. • Foster a collaborative and inclusive work environment that encourages knowledge-sharing and innovation. • Strong sense of ownership, bias for action, and drive. • Excellent analytical and problem-solving skills. • Strong verbal and written communication. • Strong work ethic and attention to detail.

Physical and Mental Requirements• Ability to stand/sit for extended periods.• Visual acuity and fine motor skills.• Ability to travel as needed.

Work Environment• Remote• Travel may be required up to 15% locally or nationally


Pay Transparency

$105,000 - $150,000 based on experience

Sponsorship StatementWellBe does not offer employment-based visa sponsorship for this position. Applicants must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.

Pay Transparency StatementCompensation for this position will be disclosed in accordance with applicable state and local pay transparency laws.

Drug Screening Requirement:As a condition of employment, WellBe Senior Medical requires all candidates to successfully complete a pre-employment drug screening. Ongoing employment may also be contingent upon compliance with the company’s Drug-Free Workplace Policy, which includes random, post-accident, and reasonable suspicion drug testing. The company reserves the right to test for substances that may impair an employee’s ability to safely and effectively perform their job duties.

Background Check StatementEmployment is contingent upon successful completion of a background check, as permitted by law. As a healthcare organization, WellBe conducts monthly FACIS (Fraud and Abuse Control Information System) checks on all employees. Continued employment is contingent upon satisfactory results of these checks, in accordance with applicable laws and regulations.

Equal Employment Opportunity (EEO) StatementWellBe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected status.

Americans with Disabilities ActWellBe Senior Medical is committed to complying with the Americans with Disabilities Act (ADA) and applicable state and local laws. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions of the job. If you require an accommodation during the application, interview or employment process, please contact Human Resources at [email protected]

At-Will Employment StatementEmployment with WellBe is at-will unless otherwise specified by contract. This job description does not constitute an employment contract.

DisclaimerThis job description is intended to describe the general nature and level of work performed. It is not intended to be an exhaustive list of all responsibilities, duties, and skills required. Management reserves the right to modify, add, or remove duties as necessary

Similar Jobs

2 Days Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
185K-245K Annually
Senior level
185K-245K Annually
Senior level
Legal Tech • Software • Generative AI
Own Eve’s data platform end to end, including ingestion, orchestration, incremental dbt models, Snowflake administration, Terraform infrastructure, observability, access controls, and pipeline reliability. Build schema-change detection, freshness SLAs, CI environments, and incident processes while managing performance and compute costs. Partner with analytics engineers and stakeholders to maintain trusted data for reporting and AI systems, using AI-assisted development and documenting platform standards.
Top Skills: AirflowClaude CodeDbtFivetranGithub ActionsIcebergMcp ServersParquetPythonSnowflakeSQLTerraform
2 Days Ago
Remote or Hybrid
United States
165K-235K Annually
Senior level
165K-235K Annually
Senior level
Big Data • Cloud • Productivity • Software • Database • Analytics • Automation
Build and maintain Databricks-based data platforms, including ingestion, transformation, storage, governance, data modeling, and serving pipelines. Establish medallion architecture standards, canonical data models, quality controls, lineage, schema evolution, and reliable batch or incremental processing. Improve pipeline observability, scalability, idempotency, and recoverability while moving curated data to systems such as ClickHouse. Collaborate across application and analytics teams to create durable, governed production datasets.
Top Skills: Amazon AuroraAmazon RdsApache AirflowSparkBigQueryCdcClickhouseCloud Object StorageDatabricksDelta LakeIamOpenmetadataPostgresSnowflakeUnity Catalog
6 Days Ago
Remote or Hybrid
United States
Senior level
Senior level
AdTech • Consumer Web • Digital Media • eCommerce • Marketing Tech • SEO
Build and support scalable data platforms and pipelines, leading migrations such as Snowflake to BigQuery and transitioning reporting to Looker. Responsibilities include data architecture, ETL/ELT, API and marketing integrations, data quality, production troubleshooting, warehousing, performance optimization, and platform modernization. The role partners with analytics and business teams, owns projects through production, documents solutions, and provides technical guidance.
Top Skills: AWSAzureBigQueryConfluenceDraw.IoGCPGitJIRAKafkaLookerLucidchartMiroModeNotionPower BIPythonSnowflakeSparkSQLTableauTalend

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account