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cloud data engineer

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>

Data 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>

Slalom

<div>
 
 Role: Data Engineer
 
 
 
 
 Who You&rsquo;ll Work With
 
 
 
 At Slalom we co-create custom software, data and cloud products with clients who are ready to accelerate their digital transformation. We're passionate about technology, compelled by its potential as we help create the digital products, experiences, and technology-driven organizations that drive true change. We&rsquo;re thrilled by the opportunity to build the future we want to see, with anyone willing to join us.
 
 
 Slalom's Data Engineering Discipline Is Focused On Injecting Intelligence Into Products, Engineering Systems That Support Learning And Insight And Creating Innovative Data Products. Within Data Engineering We Help Customers Build World-class Products Through Effective Use Of
 
 
 <ul>
 <li>
 Data engineering consisting of streaming / real-time data solutions, modern data platforms and data systems within products (i.e., database systems, graph databases, key-value stores, document databases and transactional systems)
 </li>
 <li>
 Enhancing Machine Learning and Artificial Intelligence capabilities
 </li>
 <li>
 You will work collaboratively with teams in a hybrid environment, with expectation to be in-person with Slalom team members and clients as needed.
 </li>
 <li>
 You also must be within commutable distance to one of the listed Slalom office locations for this role.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Do
 
 
 
 Slalom Data Engineering discipline is comprised of passionate, flexible technologists who love to practice and hone their craft. As tools evolve and technologies emerge, we work to stay in front of innovations in data platform development and delivery.
 
 
 As a Data Engineer for Slalom, you will work in collaborative teams to deliver innovative solutions on Amazon Web Services, Microsoft Azure, and Google Cloud Platform using core cloud data warehouse tools, distributed processing engines, event streaming platforms, and other modern data technologies. In addition to building the next generation of data platforms, you will be working with some of the most forward-thinking organizations in data and analytics.
 
 
 You will be engaged to participate in design sessions and be responsible for the timely completion of development items assigned to you in a project backlog.
 
 
 
 What You&rsquo;ll Bring
 
 
 
 You will have an interest to become the best at what you do and will have many opportunities to gain hands-on experience with new data platforms and programming languages as you explore the range of technologies that we help our clients with including:
 
 
 <ul>
 <li>
 Big Data Platforms (Apache Spark, Presto, Amazon EMR)
 </li>
 <li>
 Cloud Data Warehouses (Amazon Redshift, Snowflake, Google BigQuery)
 </li>
 <li>
 Object Oriented Coding (Java, Python)
 </li>
 <li>
 NoSQL Databases (DynamoDB, Cosmos DB, MongoDB)
 </li>
 <li>
 Container Management Systems (Kubernetes, Amazon ECS)
 </li>
 <li>
 Artificial Intelligence / Machine Learning (Amazon Sagemaker, Azure ML Studio)
 </li>
 <li>
 Streaming Data Ingestion and Analytics (Amazon Kinesis, Apache Kafka)
 </li>
 <li>
 Visual Analytics (Tableau, PowerBI)
 </li>
 <li>
 Modern Data Workflows (Apache Airflow, dbt, Dagster)
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.
 
 
 
 Compensation And Benefits
 
 
 
 Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, &amp; vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.
 
 
 Slalom is committed to fair and equitable compensation practices. For this role, we are hiring at the following levels and targeted base pay salary ranges outlined below. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual&rsquo;s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
 
 
 <ul>
 <li>
 Denver, Portland
 </li>
 <ul>
 <li>
 Consultant: $91,000 - $122,000
 </li>
 </ul>
 <li>
 Seattle
 </li>
 <ul>
 <li>
 Consultant: $99,000 - $133,000
 
 </li>
 </ul>
 </ul>
 We will accept applicants until April 5th, 2026, or until the position is filled.
 
 
 We are committed to pay transparency and compliance with applicable laws. If you have questions or concerns about the pay range or other compensation information in this posting, please contact us at: peopleone@slalom.com.
 
 
 
 EEO and Accommodations
 
 
 
 
 Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans&rsquo; status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team or contact accomodationrequest@slalom.com if you require accommodations during the interview process.
 
</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

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>

Google

<div>The application window will be open until at least March 09, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. 
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Reston, VA, USA; Boulder, CO, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience.</li>
<li>6 years of experience with cloud native architecture in a customer-facing or support role.</li>
<li>Experience with Big Data technologies or concepts (e.g., analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, Spark, performance or scalability optimizations, batch versus streaming).</li>
<li>Experience using programming languages to design demos, prototypes, or workshops for customers.</li>
<li>Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools, and data governance on cloud native architectures.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Experience engaging with, presenting to, or influencing technical stakeholders or executive leaders.</li>
<li>Experience with architecture design, implementing, tuning, schema design, and query optimization of scalable and distributed systems.</li>
<li>Experience with cloud products and differentiation from competition.</li>
<li>Experience in technical sales or consulting in cloud computing, data analytics, and Big Data.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

Our mission is to partner with GPS field teams to provide the technical expertise necessary to ensure our customers adopt Google Cloud successfully. We work to be the technologists across AI/ML, application and infrastructure modernization, networking, databases, analytics, and security.
<div>As a Data and Analytics Customer Engineering Specialist in Google Public Sector (GPS), you'll leverage your experience and thought leadership to empower sales teams in incubating, piloting, and deploying Google Cloud's industry-leading data portfolio.<div></div><div> 
You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks. You will use your expertise and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills.</div></div>
Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions. 
The US base salary range for this full-time position is $125,000-$183,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Partner with technical sales teams to differentiate Google Cloud to our customers.</li>
<li>Serve as a technical expert responsible for accelerating technical wins and adoption of complex, specialized workloads.</li>
<li>Leverage expertise in our strategic product areas, in partnership with Platform Customer Engineers, to design data foundation architectures and develop MVPs (Minimum Viable Products) to sell new, highly specialized solutions to customers.</li>
<li>Solve analytics-centered customer issues and provide a critical feedback loop to unblock customers and influence product development.</li>
<li>Serve as a trusted advisor and data architect for our customers and lead their data migration workloads to Google Cloud.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Customer Engineer, Data and Analytics, Google Public Sector

Interaslabs

&lt;Overview&gt; Ignite your career as a Senior AWS DevOps Engineer, where you will lead the design, implementation, and management of cloud infrastructure solutions that power innovative enterprise applications. This role offers an exciting opportunity to leverage cutting-edge technologies to optimize system performance, enhance security, and streamline deployment processes across complex distributed systems. Join a dynamic team committed to continuous improvement and technological excellence, driving impactful results in a fast-paced environment.&lt;Responsibilities&gt;<ul><li>Architect, deploy, and maintain scalable cloud infrastructure solutions utilizing AWS services such as S3, DynamoDB, EC2, and VPCs, ensuring high availability and disaster recovery readiness.</li><li>Develop and implement Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, and Ansible to automate provisioning and configuration management across diverse environments.</li><li>Manage containerized applications with Docker and Kubernetes, orchestrating microservices architectures for seamless deployment and scaling.</li><li>Integrate CI/CD pipelines using Jenkins, GitLab CI, or TFS to automate software build, testing, and deployment processes aligned with SDLC best practices.</li><li>Monitor system health and application performance through tools like New Relic, Splunk, and Elasticsearch; perform log analysis to troubleshoot issues proactively.</li><li>Ensure cloud security through proper identity &amp; access management (IAM), firewall configurations, encryption protocols, and compliance standards.</li><li>Collaborate with development teams on requirements gathering for enterprise software projects; support software troubleshooting and incident recovery efforts.</li></ul>&lt;Experience&gt;<ul><li>Extensive hands-on experience with cloud computing platforms such as AWS, Google Cloud Platform, or Azure in enterprise environments.</li><li>Proven expertise in DevOps practices including continuous integration/delivery (CI/CD), automated testing, release management, and system testing.</li><li>Strong background in scripting languages like Python, Bash (Unix shell), PowerShell, Groovy, Perl, Ruby, and Go for automation tasks.</li><li>Deep understanding of IT infrastructure components including virtualization (VMware), containerization (Docker), open-source orchestration tools (Kubernetes), and virtualization platforms like OpenStack.</li><li>Familiarity with enterprise middleware such as WebSphere, Weblogic, JBoss; experience with application servers is highly desirable.</li><li>Knowledge of database systems including MySQL, Microsoft SQL Server, Oracle; proficiency in SQL/PLSQL/T-SQL for data management.</li><li>Experience managing distributed systems over WAN/LAN networks; expertise in network administration including DNS, TCP/IP protocols and cloud security best practices.</li><li>Ability to troubleshoot complex issues involving software deployment failures or system outages; adept at incident management using tools like Jira or TFS. Join us if you&rsquo;re passionate about leveraging the latest cloud technologies to drive innovation! We&rsquo;re looking for a proactive problem solver who thrives in collaborative environments and is eager to lead transformative projects that shape the future of enterprise IT infrastructure.</li></ul>Pay: $55.00 - $60.00 per hourExpected hours: 40 per weekExperience:<ul><li>AWS CodeBuild: 10 years (Preferred)</li><li>AWS Codedeploy: 10 years (Preferred)</li><li>Amazon ECS: 10 years (Preferred)</li><li>AWS CloudFormation: 10 years (Preferred)</li><li>AWS ​C​DK: 10 years (Preferred)</li><li>AWS Networking tools: 10 years (Preferred)</li></ul>License/Certification:<ul><li>AWS Certified Solutions Architect &ndash; Professional (Preferred)</li><li>AWS Certified DevOps Engineer &ndash; Professional (Preferred)</li><li>AWS Certified Developer &ndash; Associate (Preferred)</li></ul>Work Location: In person

Senior AWS DevOps Engineer

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Customer Engineer, Data and Analytics, Google Public Sector

Senior AWS DevOps Engineer