Principal Data Engineer (remote)

Claritev; McLean (VA); Remote; USD 130,000 - 155,000; Full time

Job summary

A leading technology firm is seeking a Principal Data Engineer to transform data processes in healthcare. The role involves managing data pipelines, collaborating across teams, and ensuring data quality. Ideal candidates will have extensive experience in data engineering and architecture, particularly within cloud environments. Competitive salary and benefits package included.

Benefits

Health insurance

401k with match

Flexible schedules

Paid Parental Leave

Generous Paid Time Off

Qualifications

• Minimum of 12 years of experience in related fields.
• Experience with SQL, SPARK, and data visualization tools.
• Familiarity with health insurance products is preferred.

Responsibilities

• Manage a team of data engineers and ensure task alignment.
• Design and implement data structures and workflows.
• Lead partnerships with business users to address data needs.

Skills

Data Engineering

Data Architecture

Project Leadership

Communication

Problem Solving

Education

Bachelor's degree in Computer Science, Engineering, Math or Technical field

Tools

SQL

SPARK

Tableau

AWS

Jira

Job description

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At Claritev, we pride ourselves on being a dynamic team of innovative professionals. Our purpose is simple - we strive to bend the cost curve in healthcare for all. Our dedication to service excellence extends to all our stakeholders - internal and external - driving us to consistently exceed expectations. We are intentionally bold, we foster innovation, we nurture accountability, we champion diversity, and empower each other to illuminate our collective potential.

Be part of our amazing transformational journey as we optimize the opportunity towards becoming a leading technology, data, and innovation voice in healthcare. Onward and Upward!!!

JOB SUMMARY: Incumbent uses data and technology to transform processes and products. This role requires strong data infrastructure, data architecture, and operational skills, as well as project leadership and communication skills to facilitate cross-functional collaboration to deliver stellar products.

Job Roles And Responsibilities

• Manage and delegate tasks as appropriate to a team of data engineers
• Ensure proper execution of team duties and alignment with business vision and objectives
• Understand business processes and how they are modeled in various systems
• Lead partnerships with business users, technology teams, and executives to understand their data needs to create innovative solutions to fulfil them
• Design, organize, and implement data structures, workflows, and integrations between enterprise platforms to ensure the accurate and timely execution of business processes.
• Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity.
• Guiding decisions and establishing best practices on data integration/engineering, as well as the future of our data infrastructure
• Managing and improving the performance of our database, queries, tools, and solutions
• Creating and maintaining data warehouse, databases, tables, SQL queries, and ingestion pipelines to power reports(Tableau), dashboards, predictive models, and downstream analysis
• Writing complex and efficient queries to transform raw data sources into easily accessible models for our teams and reporting platforms
• Prepare data for predictive and prescriptive modeling
• Identify and analyze data patterns
• Identify ways to improve data reliability, efficiency and quality
• Lead partnership with analytics, data science, and wider engineering teams to help with automating data analysis and visualization needs, advise on transformation processes to populate data models, and explore ways to design and develop data infrastructure
• Document high and low level technical design
• Select, develop, and evaluate staff to ensure the efficient operation of department.
• Collaborate, coordinate, and communicate across disciplines and departments.
• Ensure compliance with HIPAA regulations and requirements.
• Demonstrate Company's Core Competencies and values held within.
• Please note due to the exposure of PHI sensitive data -- this role is considered to be a High Risk and priveleged role.
• The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.
  
  

JOB SCOPE: The incumbent works independently and relies on judgment and experience to complete job responsibilities. The incumbent possesses an extensive range of knowledge of practices and procedures within the field and acts a resource for less experienced team members. Work is varied and complex.

,

JOB REQUIREMENTS (Education, Experience, And Training)

• Minimum of 12 years of experience in Data Engineering, Data Architecture, BI, or Data Warehousing in a cloud-based environment. At least 2 to 3 years with Scala.
• Experience using SQL and SPARK
• Experience working with health insurance products and data strongly preferred.
• Experience partnering with leaders of Data Science, Product Management, and Account Management teams, including strong business judgment, problem solving, communication, and demonstrated leadership experience influencing cross-functional teams to achieve objectives strongly preferred.
• Experience in SQL or similar languages and development experience in Scala or Python.
• Experience with Hive or Presto, data visualization tools (like Tableau), relational database management systems, Agile methodologies, AWS, and Jira strongly preferred.
• Leadership, communication, project initiation and completion experience; with a proactive, take ownership/roll up the sleeves attitude regarding getting work done.
• Proven ability to execute strategically and tactically.
• Experience working with health insurance products and data.
• Extensive experience in triaging data issues, analyzing end-to-end data pipelines and working with business users in resolving issues.
• Experience in working with data governance/data quality and data security teams and specifically data stewards and security officers in moving data pipelines into production with appropriate data quality, governance and security standards and certification.
• Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
• Adept in agile methodologies and capable of applying DevOps and increasingly DataOps principles to data pipelines.
• Strong attention to detail when identifying data relationships, trends, and anomalies.
• Thinking through long-term impacts of key design decisions and handling failure scenarios.
• Excellent communication skills (verbal, listening and written)
• Strong ability to design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata and workload management.
• Ability to work with both IT and business in integrating analytics and data science output into business processes and workflows.
• An agile learner who brings strong problem-solving skills and enjoys working as part of a technical, cross functional team to solve complex data problems
• Ability to manage and provide mentoring to a team of data engineers
• Able to prioritize and manage multiple projects and requests at any one time
• Bachelor's degree in Computer Science, Engineering, Math or Technical field highly preferred.
  
  

Compensation

The salary range for this position is $130k - 155k. Specific offers take into account a candidate’s education, experience and skills, as well as the candidate’s work location and internal equity. This position is also eligible for health insurance, 401k and bonus opportunity.

Benefits

We realize that our employees are instrumental to our success, and we reward them accordingly with very competitive compensation and benefits packages, an incentive bonus program, as well as recognition and awards programs. Our work environment is friendly and supportive, and we offer flexible schedules whenever possible, as well as a wide range of live and web-based professional development and educational programs to prepare you for advancement opportunities.

Your Benefits Will Include

• Medical, dental and vision coverage with low deductible & copay
• Life insurance
• Short and long-term disability
• Paid Parental Leave
• 401(k) + match
• Employee Stock Purchase Plan
• Generous Paid Time Off - accrued based on years of service
• WA Candidates: the accrual rate is 4.61 hours every other week for the first two years of tenure before increasing with additional years of service
• 10 paid company holidays
• Tuition reimbursement
• Flexible Spending Account
• Employee Assistance Program
• Sick time benefits - for eligible employees, one hour of sick time for every 30 hours worked, up to a maximum accrual of 40 hours per calendar year, unless the laws of the state in which the employee is located provide for more generous sick time benefits
  

EEO STATEMENT

Claritev is an Equal Opportunity Employer and complies with all applicable laws and regulations. Qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability or protected veteran status. If you would like more information on your EEO rights under the law, please click here.

APPLICATION DEADLINE

We will generally accept applications for at least 15 calendar days from the posting date or as long as the job remains posted.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Hospitals and Health Care

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