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data pipeline engineer

CVS Health

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.<h1 class="jobSectionHeader">
Position Summary</h1>
If you&rsquo;re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.
At CVS Health, we possess an extensive repository of healthcare data that spans over 150 million individuals, providing an unparalleled foundation for ambitious Data Engineers. In this role, you will engage with complex business challenges, harnessing modern tools and technologies to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data. Your work will underpin data-driven business decisions and contribute to our mission of delivering industry-best data products / software with a customer-first mindset and team-oriented approach.
As a Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of various CVS lines of business. Collaborating closely with teams, you will craft tools to provide actionable insights and integrate them with consumer touchpoints.
As a Data Engineer, you will:<ul><li>
Build and optimize analytical data models in BigQuery. Implement partitioning, clustering, and materialized views for performance and cost efficiency. Ensure compliance with data governance, access controls, and IAM best practices.</li><li>
Develop integrations with external systems (APIs, flat files etc.) using GCP-native or hybrid approaches. Utilize tools like Dataflow or custom Python/Java services on Cloud Functions or Cloud Run to handle transformations and ingestion logic.</li><li>
Build automated CI/CD pipeline using Cloud Build, GitHub Actions, or Jenkins for deploying data pipeline code and workflows. Set up observability using Cloud Monitoring, Cloud Logging, and Error Reporting to ensure pipeline reliability.</li></ul>
As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.
This role may work onsite 2 days a week in one of CVS Health's core hubs in: NYC, Hartford, CT or Wellesley, MA. Full-time Remote candidates will also be considered.
Required Qualifications<ul><li>
1+ years of experience with SQL, NoSQL</li><li>
1+ years of experience with Python (or a comparable scripting language)</li><li>
1+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components</li><li>
1+ years of experience with ETL/ELT, and building high-volume data pipelines</li><li>
1+ years of experience with reporting/analytic tools</li><li>
1+ years of experience with query optimization, data structures, transformation, metadata, dependency, and workload management</li><li>
1+ years of experience with Big data and cloud architecture</li><li>
1+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP)</li><li>
1+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)</li><li>
1+ years of experience with real-time and streaming technology (i.e. Kafka, Spark Streaming)</li><li>
1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders</li></ul>
Preferred Qualifications
<ul><li>Experience with complex systems and solving challenging analytical problems</li><li>
Strong collaboration and communication skills within and across teams</li><li>
Knowledge of data visualization and reporting</li><li>
Experience in designing and building data engineering solutions in cloud environments (preferably GCP)</li><li>
Experience with Git, CI/CD pipeline, and other DevOps principles/best practices</li><li>
Experience with bash shell scripts, UNIX utilities &amp; UNIX Commands</li><li>
Understanding of software development methodologies including waterfall and agile</li><li>
Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources</li><li>
Knowledge of API development</li><li>
Experience with schema design and dimensional data modeling</li><li>
Google Professional Data Engineer Certification</li><li>
Knowledge of microservices and SOA</li><li>
Formal SAFe and/or agile experience. Previous healthcare experience and domain knowledge</li><li>
Experience designing, building, and maintaining data processing systems</li><li>
Experience architecting and building data warehouse and data lakes</li></ul>
Education<ul><li>
Bachelor&rsquo;s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required</li><li>
Master&rsquo;s Degree preferred</li></ul>
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$64,890.00 - $173,040.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul><li>
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li><li>
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li><li>
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li></ul>
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 03/30/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Data Engineer

General Dynamics Information Technology

<div>
 
 
 Job Description:
 
 
 
 
 
 Type of Requisition:
 
 
 
 Regular
 
 
 
 
 Clearance Level Must Currently Possess:
 
 
 
 
 None
 
 
 
 
 Clearance Level Must Be Able To Obtain:
 
 
 
 
 None
 
 
 
 
 Public Trust/Other Required:
 
 
 
 
 MBI (T2)
 
 
 
 
 Job Family:
 
 
 
 
 Data Science and Data Engineering
 
 
 
 
 Skills:
 
 
 
 
 
 Job Qualifications:
 
 
 
 Data Analysis, ETL, Palantir (Software), Relational Database
 
 
 
 
 Certifications:
 
 
 
 
 None
 
 
 
 
 Experience:
 
 
 
 
 8 + years of related experience
 
 
 
 
 US Citizenship Required:
 
 
 
 
 No
 
 
 
 
 Job Description:
 
 
 
 
 
 Position Description:
 
 
 
 The Data Engineer provides system and data engineering support to data analysis operations throughout the reporting and analysis lifecycle. The Engineer will build and maintain systems to extract, clean and transform data, using advanced automation and scripting tools.
 
 
 
 
 Position Duties:
 
 
 
 
 <ul>
 <li>
 Work with business owners and data analysts to develop technical solutions for reporting products.
 </li>
 <li>
 Build, test and maintain database pipeline architectures.
 </li>
 <li>
 Use ETL tools to extract and load data for various reports.
 </li>
 <li>
 Create data validation tools.
 </li>
 <li>
 Automate data analysis and collection products.
 </li>
 <li>
 Create documentation and presentations.
 </li>
 <li>
 Creates and maintains optimal data pipeline architecture.
 </li>
 <li>
 Develops and conducts tests to ensure data solutions meet documented user requirements.
 </li>
 <li>
 Analyzes IT environments to identify and assess critical capabilities and recommend solutions to problems of moderate scope and complexity.
 </li>
 <li>
 Collaborates with data science team to transform data and integrate algorithms and models into automated processes.
 </li>
 <li>
 Works with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
 </li>
 <li>
 May coach and review the work of less-experienced professionals.
 </li>
 <li>
 Provide ongoing training for data analysts and staff on data tools and products.
 </li>
 <li>
 Assist data analysts with data preparation to create sources for data products.
 </li>
 <li>
 Help create governance processes and procedures.
 </li>
 <li>
 Support data collection, analysis and visualization projects as needed, including data modeling, database creation, and technical support.
 </li>
 <li>
 Recommend and implement technical and automated solutions for manual processes.
 </li>
 <li>
 Provide recommendations to streamline and improve current business processes.
 </li>
 <li>
 Respond and fulfill data requests as required.
 </li>
 <li>
 Participate in special projects as needed.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 <ul>
 <li>
 Requires BS/BA degree in related discipline along with 8 years of experience or 6 years with a Master&rsquo;s Degree.
 </li>
 <li>
 Expert coding knowledge including SQL and Python (required), and R (preferred).
 </li>
 <li>
 Experience working with Palantir Foundry, and tools such as Contour, Code Repository, Code Workbook, Pipeline Builder, Data Lineage.
 </li>
 <li>
 Experience with GitHub, MongoDB, MySQL, PostgreSQL, Salesforce and Tableau.
 </li>
 <li>
 Knowledge of Databricks a plus.
 </li>
 <li>
 Understanding of relational and non-relational databases.
 </li>
 <li>
 Experience working with large datasets, performing tasks such as data cleaning and processing (ETL).
 </li>
 <li>
 Experience with automation/scripting.
 </li>
 <li>
 Knowledge of cloud storage and cloud computing/analytics.
 </li>
 <li>
 Understanding of data security.
 </li>
 <li>
 Ability to build prototypes of new data products and to automate workflows.
 </li>
 <li>
 Ability to learn and comprehend new data tools.
 </li>
 <li>
 Ability to conduct feasibility studies to determine suitability to program requirements.
 </li>
 <li>
 Excellent analytical and writing skills.
 </li>
 <li>
 Strong verbal communication skills.
 </li>
 <li>
 Highly motivated and collaborative.
 
 
 </li>
 </ul>
 
 
 Additional Requirements:
 
 
 
 
 <ul>
 <li>
 This position requires an existing Public Trust or the ability to obtain one.
 </li>
 <li>
 This role and associated duties will be performed on site at a government facility located in Washington, DC.
 
 
 </li>
 </ul>
 The likely salary range for this position is $124,093 - $149,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
 
 
 
 
 Scheduled Weekly Hours:
 
 
 
 
 40
 
 
 
 
 Travel Required:
 
 
 
 
 Less than 10%
 
 
 
 
 Telecommuting Options:
 
 
 
 
 Onsite
 
 
 
 Work Location:
 
 
 
 USA DC Washington
 
 
 
 Additional Work Locations:
 
 
 
 
 
 Total Rewards At GDIT:
 
 
 
 
 Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.
 
 
 We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.
 
 
 Join our Talent Community to stay up to date on our career opportunities and events at
 
 
 gdit.com/tc.
 
 
 Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
</div>

CAQH

<div>Position Summary:
The Data Engineer will play a strategic role in designing, developing, and optimizing advanced data pipelines and infrastructure to support CAQH&rsquo;s enterprise data modernization efforts. This role is critical to delivering scalable, secure, and high-performance data solutions that drive analytics, reporting, and AI/ML initiatives across the organization. This role owns complex data modeling, enrichment logic, and pipeline reliability across Databricks, Azure SQL, and downstream analytics and API consumers. The position requires deep domain expertise, strong cross-team collaboration, and the ability to translate ambiguous requirements into production-ready data solutions while guiding vendors and internal teams. 
The Data Engineer is a full-time, remote, exempt position and reports to the Sr. Director, Data Engineering &amp; Architecture. 
Base Salary: $120,000 - $135,000 
Data Engineering &amp; Architecture<ul><li>
Design, build, and maintain complex ETL/ELT pipelines across Databricks, Azure SQL, and downstream gold-layer models supporting priority projects</li><li>
Lead development and evolution of enriched data models, including field-level enrichment logic, recency rules, and provider-level enrichment flags.</li><li>
Own data logic, including reconciliation between source and target data sources and resolution of duplication and data discrepancies.</li>
Implement and refine medallion architecture patterns (bronze<li> gold), ensuring data quality, traceability, and performance at scale.</li></ul> 
Data Quality, Governance &amp; Reliability<ul><li>
Identify, document, and remediate systemic data quality issues, including null handling, soft deletes, authorization flags, and incorrect organizational mappings.</li><li>
Define and operationalize rules for data in collaboration with product, governance, and engineering stakeholders.</li><li>
Produce authoritative documentation (Confluence, mapping workbooks) to serve as a single source of truth for enrichment logic and data behavior.</li><li>
Cross‑Functional &amp; Vendor Collaboration</li><li>
Act as a primary technical counterpart for vendors providing detailed queries, validation logic, and corrective guidance on upstream data issues.</li><li>
Partner closely with product owners, architects, and application teams to ensure data models align with product defined use cases.</li><li>
Support UAT and release readiness by preparing data, validating counts, and resolving last‑mile data defects under tight timelines.</li></ul> 
Technical Leadership<ul><li>
Provide hands-on technical leadership without formal direct reports, mentoring peers and guiding best practices in SQL, Databricks notebooks, and data modeling.</li><li>
Influence architectural decisions related to Databricks compute, job scheduling, and environment promotion strategies.</li></ul> 
Skills:<ul><li>
Advanced SQL expertise (complex joins, reconciliation, performance tuning).</li><li>
Deep hands-on experience with Databricks, Delta Lake, and Azure SQL.</li><li>
Strong data modeling skills for analytical, operational, and API‑driven use cases.</li><li>
Proven ability to debug and stabilize messy, evolving enterprise data domains.</li><li>
Excellent written and verbal communication, especially for explaining complex data behavior to non‑technical stakeholders.</li><li>
Experience using Git, DevOps tools, and CI/CD pipelines for data engineering workflows.</li></ul> 
Experience:<ul><li>
4&ndash;7 years of hands-on experience in a data engineering or analytics engineering role.</li><li>
Demonstrated success leading data modernization or migration initiatives in cloud environments.</li><li>
Prior experience working with healthcare or other regulated data environments is highly desirable.</li></ul> 
Education:<ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, Data Engineering, or a related field.</li><li>
Azure Data Engineer Associate or related certification (preferred).</li><li>
Coursework or certification in AI/ML (preferred but not required).</li></ul> 
WHO WE ARE
CAQH is the trusted data connector at the core of healthcare. For more than 25 years, we have powered the industry with the largest and most complete healthcare data foundation in the U.S., including more than 4.8 million provider data records sourced directly from providers and member data representing 75% of covered lives supplied by health plans. By improving how essential information flows across the system, CAQH helps healthcare operate more efficiently, accurately, and with greater confidence. 
WHAT YOU GET
At CAQH, you will do meaningful work at the intersection of healthcare, data, and technology, alongside experienced professionals who care about getting things right. We are a fully remote organization with employees across the U.S.
CAQH provides competitive compensation and a comprehensive benefits package for full-time employees, including medical, dental, and vision coverage, a 401(k) with employer contribution, paid parental leave, tuition assistance, and paid time off. We are committed to investing in our people and supporting professional growth and development over time. 
EQUAL OPPORTUNITY EMPLOYER
CAQH is proud to be an equal opportunity employer and is committed to fostering a workplace where all individuals are valued, respected, and empowered. Employment decisions at CAQH are made without regard to race, color, religion, sex, national origin or ancestry, age, marital status, disability, protected veteran status, sexual orientation, gender identity or expression, familial status, family responsibilities, genetic information, or any other characteristic protected by law.
Applicants have rights under the Family Medical Leave Act (FMLA), Equal Employment Opportunity (EEO), and the Employee Polygraph Protection Act (EPPA). If you need a reasonable accommodation to apply for a position, please contact CAQH Human Resources at hr@caqh.org. 
#LI-Remote</div>

E-INFOSOL LLC

<div>PID: 25-15-09J-000 
E-INFOSOL LLC is seeking a highly motivated Data Engineer to join our innovative, customer-focused team in Washington, DC. 
Job Type<ul><li>
On Site</li></ul> 
Summary
We are looking for a Data Engineer to:<ul><li>
Design, implement, automate, and maintain Enterprise level of scalable Extract, Transform and Load (ETL) data ingestion and data analysis pipelines.</li><li>
Build robust data processing, enriching and analysis pipelines that aggregate and normalize large datasets across diverse sources, including sources from web services.</li><li>
Automate and optimize database and data workflows for best performance and efficiency.</li><li>
Identify and propose emerging technologies, automation, or alternative solutions to efficiently better support for developers and application stakeholders.</li><li>
Develop and maintain documentation, inline comments, confluence, and stand-alone documents, wherever necessary for the readability of the software design and code.</li><li>
Ability to focus on producing result efficiently.</li><li>
Ability to work independently and coordinate with team members.</li></ul> 
Qualifications<ul><li>
Active Top Secret clearance</li><li>
Bachelor&rsquo;s degree</li><li>
Minimum 10 years of relevant experience.</li></ul> 
Required Skills/Technologies<ul><li>
Experience with designing, implementing, and maintaining big data processing, normalizing, and enriching pipelines in language such as Python, pySpark, or Spark.</li><li>
Experience with architecting, designing, and building modern medallion ETL processes for data lake, data warehouse or lakehouse.</li><li>
Experience with implementing automated data pipelines with Continuous Integration/Continuous Delivery (CI/CD).</li><li>
Experience with dataframe processing with filtering conditions.</li><li>
Experience with organizing data version history to optimize processing and retrieving performance.</li><li>
Experience with data indexing for robust searching and querying.</li><li>
Knowledge of PostgreSQL.</li><li>
Knowledge of automating data pipeline and workflow on Apache Niagra Files (NiFi) or Databricks for ease of maintenance.</li><li>
Strong verbal and written communication skills to effectively collaborate and integrate with enterprise partners and customers.</li><li>
Excellent at troubleshooting, debugging, and researching.</li><li>
Focus and have the desire to learn.</li></ul> 
About E-INFOSOL
E-INFOSOL is a Service Disabled and Veteran Owned Small Business (SDVOSB) located in the Washington, D.C. metropolitan area. We specialize in building modern and tailored solutions to support our customers&rsquo; mission. As a mission-first organization, we deliver Subject Matter Expertise (SME) in cloud computing, virtualization, cyber security, software development and data services. We support the Intelligence Community, Department of Defense, Federal Law Enforcement, Civilian Agencies and the Private Sector.
Through strategic partnerships with top industry players such as Amazon Web Services (AWS), VMware, Microsoft and Nutanix, E-INFOSOL provide an array of IT products and solutions. Combined with our industry expertise, we deliver in-depth knowledge on Government requirements and fully understand NIST and DoD security requirements. Our expertise in the latest technologies combined with our understanding of infrastructure needs and security requirements provides the best combination for achieving innovative and secure environments for Government Agencies and Private Sector.
Career Growth
&ldquo;Putting People First, Achieving our Mission Together&rdquo;. E-INFOSOL is a people-first organization focusing on a positive employee culture that inspires creativity and innovation in support of our customers. With opportunities such as reimbursement and bonuses based on completion of certifications, we invest in our employees&rsquo; career growth. 
Full Time Benefits<ul><li>
Medical &ndash; 100% company paid for employees with dependent options</li><li>
Dental and Vision</li><li>
Retirement Savings (401k) up to 4% match</li><li>
Health Savings Account (HSA), FSA and DCFSA</li><li>
Company-paid Short/Long-term disability (w/ additional supplemental options)</li><li>
Company-paid Life and AD&amp;D (w/ additional supplemental options)</li><li>
Generous Paid Time Off and ALL 11 Federal Holidays</li><li>
Legal and Identity Protection Services</li><li>
Bonuses for certifications and reimbursement</li></ul>
Employee Perks:<ul><li>
UberOne, Company Outings (Sporting events, Happy Hours, etc.), Discounts on services including Pet Insurance</li></ul>
Company Awards:<ul><li>
SBA 8(a) Certified</li><li>
SDVOSB</li><li>
GSA Contract Holder</li><li>
Inc. 5000</li></ul>
Equal Employment Opportunity Policy
E-INFOSOL LLC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. 
Website: E-INFOSOL.com</div>

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.
Position Summary
If you&rsquo;re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.
At CVS Health, we possess an extensive repository of healthcare data that spans over 150 million individuals, providing an unparalleled foundation for ambitious Data Engineers. In this role, you will engage with complex business challenges, harnessing modern tools and technologies to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data. Your work will underpin data-driven business decisions and contribute to our mission of delivering industry-best data products / software with a customer-first mindset and team-oriented approach.
As a Senior Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of various CVS lines of business. Collaborating closely with teams, you will craft tools to provide actionable insights and integrate them with consumer touchpoints.
In this role, you will:<ul><li>
Architect and develop robust, scalable ETL/ELT pipelines using Cloud Dataflow, Cloud composer (Airflow), and Pub/Sub for both batch and streaming use cases. Leverage BigQuery as the central data warehouse and design integrations with other GCP services (e.g., Cloud storage, Cloud functions).</li><li>
Build and optimize analytical data models in BigQuery. Implement partitioning, clustering, and materialized views for performance and cost efficiency. Ensure compliance with data governance, access controls, and IAM best practices.</li><li>
Develop integrations with external systems (APIs, flat files etc.) using GCP-native or hybrid approaches. Utiilize tools like Dataflow or custom Python/Java services on Cloud Functions or Cloud Run to handle transformations and ingestion logic.</li><li>
Build automated CI/CD pipeline using Cloud Build, GitHub Actions, or Jenkins for deploying data pipeline code and workflows. Set up observability using Cloud Monitoring, Cloud Logging, and Error Reporting to ensure pipeline reliability.</li><li>
Lead architectural decisions for data platforms and mentor junior engineers on cloud-native data engineering patterns. Promote best practices for code quality, version control, cost optimization, and data security in a GCP environment. Drive initiatives around data democratization, including building reusable datasets and data catalogs via Datapelx or Data Catalog.</li></ul>
As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.
This role may work onsite 2 days a week in one of CVS Health's core hubs in: NYC, Hartford, CT or Wellesley, MA. Full-time Remote candidates will also be considered.
Required Qualifications<ul><li>
3+ years of experience with SQL, NoSQL</li><li>
3+ years of experience with Python (or a comparable scripting language)</li><li>
3+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components</li><li>
3+ years of experience with ETL/ELT, and building high-volume data pipelines</li><li>
3+ years of experience with reporting/analytic tools</li><li>
3+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management</li><li>
3+ years of experience with Big data and cloud architecture</li><li>
3+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP, AWS, Azure)</li><li>
3+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)</li><li>
3+ years of experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Kafka, Spark Streaming)</li><li>
1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders</li><li>
1+ year(s) of experience independently managing deliverables</li></ul>
Preferred Qualifications<ul><li>
Experience in designing and building data engineering solutions in cloud environments (preferably GCP)</li><li>
Experience with Git, CI/CD pipeline, and other DevOps principles/best practices</li><li>
Experience with bash shell scripts, UNIX utilities &amp; UNIX Commands</li><li>
Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources</li><li>
Knowledge of API development</li><li>
Experience with complex systems and solving challenging analytical problems</li><li>
Strong collaboration and communication skills within and across teams</li><li>
Knowledge of data visualization and reporting</li><li>
Experience with schema design and dimensional data modeling</li><li>
Google Professional Data Engineer Certification</li><li>
Knowledge of microservices and SOA</li><li>
Formal SAFe and/or agile experience. Previous healthcare experience and domain knowledge</li><li>
Experience designing, building, and maintaining data processing systems</li><li>
Experience architecting and building data warehouse and data lakes</li></ul>
Education<ul><li>
Bachelor&rsquo;s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required</li><li>
Master&rsquo;s Degree preferred</li></ul>
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$83,430.00 - $222,480.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul><li>
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li><li>
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li><li>
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li></ul>
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 03/30/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Senior Data Engineer

Sparibis

Location: 100% Remote
 
Years' Experience: 5+ years Professional Experience
 
Education: Bachelor's Degree in IT related field
 
Clearance: Applicants must be able to obtain and maintain a secret security clearance. United States Citizenship is required as part of the eligibility criteria to be able to obtain this type of security clearance.
 
Required Certifications: 
<ul>
<li>CompTIA Security +</li>
</ul>
Key Skills: 
<ul>
<li>5+ years of IT experience focusing on enterprise data architecture and management to include data flow charts, diagrams, and other technical documentation.</li>
<li>Experience with Databricks, Structured Streaming, Delta Lake concepts, and Delta Live Tables required.</li>
<li>Python development experience required.</li>
<li>Experience with ETL and ELT tools such as SSIS, Pentaho, and/or Data Migration Services, and the ability to incorporate Python as required.</li>
<li>Advanced level SQL experience (Joins, Aggregation, Windowing functions, Common Table Expressions, RDBMS schema design, Postgres performance optimization).</li>
<li>Proficiency using Git for version control, including repository management, branching, merging, and pull requests.</li>
<li>Active CompTIA Security+ certification preferred. If selected, must be able to obtain a CompTIA Security+ certification prior to beginning supporting the program.</li>
</ul>
Responsibilities
 
<ul>
<li>Plan, create, and maintain data architectures, ensuring alignment with business requirements.</li>
<li>Obtain data, formulate dataset processes, and store optimized data.</li>
<li>Identify problems and inefficiencies and apply solutions.</li>
<li>Determine tasks where manual participation can be eliminated with automation.</li>
<li>Identify and optimize data bottlenecks, leveraging automation where possible.</li>
<li>Create and manage data lifecycle policies (retention, backups/restore, etc).</li>
<li>In-depth knowledge for creating, maintaining, and managing ETL/ELT pipelines.</li>
<li>Create, maintain, and manage data transformations.</li>
<li>Maintain/update documentation.</li>
<li>Create, maintain, and manage data pipeline schedules.</li>
<li>Monitor data pipelines.</li>
<li>Create, maintain, and manage data quality gates (Great Expectations) to ensure high data quality.</li>
<li>Support AI/ML teams with optimizing feature engineering code.</li>
<li>Expertise in Spark/Python/Databricks, Data Lake and SQL.</li>
<li>Create, maintain, and manage Spark Structured Steaming jobs, including using the newer Delta Live Tables and/or DBT.</li>
<li>Research existing data in the data lake to determine best sources for data.</li>
<li>Create, manage, and maintain ksqlDB and Kafka Streams queries/code</li>
<li>Data driven testing for data quality.</li>
<li>Maintain and update Python-based data processing scripts executed on AWS Lambdas.</li>
<li>Unit tests for all the Spark, Python data processing and Lambda codes.</li>
<li>Maintain PCIS Reporting Database data lake with optimizations and maintenance (performance tuning, etc).</li>
<li>Streamlining data processing experience including formalizing concepts of how to handle lake data, defining windows, and how window definitions impact data freshness.</li>
</ul>
Qualifications
 
<ul>
<li>5+ years of IT experience focusing on enterprise data architecture and management.</li>
<li>Must have an active Secret security clearance.</li>
<li>Bachelor degree required.</li>
<li>CompTIA Security+ certification preferred. If selected, must be able to obtain a CompTIA Security+ certification prior to begin supporting the program.</li>
<li>Experience in Conceptual/Logical/Physical Data Modeling & expertise in Relational and Dimensional Data Modeling.</li>
<li>Experience with Databricks and Python Development, Structured Streaming, Delta Lake concepts, and Delta Live Tables required.</li>
<li>Additional experience with Spark, Spark SQL, Spark DataFrames and DataSets, and PySpark.</li>
<li>Data Lake concepts such as time travel and schema evolution and optimization.</li>
<li>Structured Streaming and Delta Live Tables with Databricks a bonus.</li>
<li>Knowledge of Python (Python 3.X) for CI/CD pipelines required.</li>
<li>Familiarity with Pytest and Unittest a bonus.</li>
<li>Experience leading and architecting enterprise-wide initiatives specifically system integration, data migration, transformation, data warehouse build, data mart build, and data lakes implementation / support.</li>
<li>Advanced level understanding of streaming data pipelines and how they differ from batch systems.</li>
<li>Formalize concepts of how to handle late data, defining windows, and data freshness.</li>
<li>Advanced understanding of ETL and ELT and ETL/ELT tools such as SSIS, Pentaho, Data Migration Service etc.</li>
<li>Understanding of concepts and implementation strategies for different incremental data loads such as tumbling window, sliding window, high watermark, etc.</li>
<li>Familiarity and/or expertise with Great Expectations or other data quality/data validation frameworks a bonus.</li>
<li>Understanding of streaming data pipelines and batch systems.</li>
<li>Familiarity with concepts such as late data, defining windows, and how window definitions impact data freshness.</li>
<li>Advanced level SQL experience (Joins, Aggregation, Windowing functions, Common Table Expressions, RDBMS schema design, Postgres performance optimization).</li>
<li>Indexing and partitioning strategy experience.</li>
<li>Debug, troubleshoot, design and implement solutions to complex technical issues.</li>
<li>Experience with large-scale, high-performance enterprise big data application deployment and solution.</li>
<li>Understanding how to create DAGs to define workflows.</li>
<li>Familiarity with CI/CD pipelines, containerization, and pipeline orchestration tools such as Airflow, Prefect, etc a bonus but not required.</li>
<li>Architecture experience in AWS environment a bonus.</li>
<li>Familiarity working with Kinesis and/or Lambda specifically with how to push and pull data, how to use AWS tools to view data in Kinesis streams, and for processing massive data at scale a bonus.</li>
<li>Experience with Docker, Jenkins, and CloudWatch.</li>
<li>Ability to write and maintain Jenkinsfiles for supporting CI/CD pipelines.</li>
<li>Experience working with AWS Lambdas for configuration and optimization.</li>
<li>Experience working with DynamoDB to query and write data.</li>
<li>Experience with S3.</li>
<li>Experience working with JSON and defining JSON Schemas a bonus.</li>
<li>Experience setting up and management Confluent/Kafka topics and ensuring performance using Kafka a bonus.</li>
<li>Familiarity with Schema Registry, message formats such as Avro, ORC, etc.</li>
<li>Understanding how to manage ksqlDB SQL files and migrations and Kafka Streams.</li>
<li>Ability to thrive in a team-based environment.</li>
<li>Experience briefing the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior level of management.</li>
<li>Proficiency using Git for version control, including repository management, branching, merging, and pull requests.</li>
<li>Repository setup and management.</li>
<li>Branching strategies (feature, develop, main).</li>
<li>Merging and resolving conflicts.</li>
<li>Creating and reviewing pull requests.</li>
<li>Commit best practices (clear messages, atomic commits).</li>
<li>Tagging and release management.</li>
</ul>
About Sparibis
 
Sparibis LLC is a professional solution firm that Clients rely on to access the best talent to drive their business success.
 
Sparibis is an equal opportunity employer that values diversity at all levels. All individuals, regardless of personal characteristics, are encouraged to apply.

Halvik

<div>Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies. Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning, Cyber Security and Cutting Edge Technology across the US Government. Be a part of something special!
Join the data revolution where you'll design and build the infrastructure that transforms raw data into 
actionable insights! This position offers an incredible opportunity to work with big data technologies, 
cloud-scale processing systems, and modern ETL frameworks that power data-driven decision making. 
You'll learn to orchestrate complex data workflows while working with cutting-edge tools like Apache 
Spark, Kafka, Airflow, and cloud data platforms that handle petabytes of information.<div>
Responsibilities: 
<ul><li>Design and implement robust ETL/ELT pipelines using modern frameworks</li><li>Work with big data technologies (Spark, Kafka) and streaming data</li><li>Master cloud data platforms (Snowflake, Databricks, Redshift, Synapse)</li><li>Develop scalable database solutions using Postgres and other RDBMS</li><li>Optimize database performance and design scalable data architectures</li><li>Implement data quality monitoring and automated testing frameworks</li></ul></div><div>
Requirements: 
<ul><li>Graduate with a degree in Computer Science, Data Science, Engineering, or related field and 3+ years of experience as a Data Engineer</li></ul></div><ul><li>Must be a US citizen OR have lived continuously in the US for the past 3 years (US citizenship</li></ul>
preferred) 
<ul><li>Strong SQL skills and database experience (coursework, projects, or internships)</li><li>Demonstrated experience with ETL processes, data manipulation, or database management</li><li>Programming experience in Python, Java, Scala, or similar languages</li><li>Portfolio showcasing data projects or database work</li></ul><div>
Preferred Qualifications: 
<ul><li>Experience with cloud platforms (AWS, Azure, GCP)</li><li>Familiarity with big data tools (Spark, Kafka, etc.)</li><li>Understanding of data warehousing concepts</li><li>Experience with version control and collaborative development</li></ul></div> 
Halvik's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. 
Halvik Corp 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 or veteran status.</div>

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