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senior software engineer

fullstory

<div>This is a hybrid position requiring in-office attendance one day per week at our Atlanta office. Candidates must reside within a commutable distance to be considered.
As a Fullstack Web SDK Engineer on the Web Capture team, you&rsquo;ll help build and evolve Fullstory&rsquo;s core web SDK, enabling product teams to better understand user behavior and create exceptional digital experiences. You'll play a critical role in capturing high-fidelity, privacy-conscious session data that powers Fullstory&rsquo;s session replay and analytics tools.
Every day, you&rsquo;ll dive into the internals of browser technology to build resilient, high-performance client-side code. You&rsquo;ll collaborate with thoughtful engineers and cross-functional partners to deliver seamless web experiences, and contribute across our frontend React app, canvas-based Playback graphics view, and backend Go services.
To thrive in this role, you&rsquo;ll need a deep understanding of modern web technologies and browser behavior, and a passion for building fast, reliable tools that perform in real-world production environments.
In a typical day, you might:<ul><li>
Engineer performant, reliable features in our web SDK using TypeScript&mdash;ensuring the accurate capture of user sessions across browsers and frameworks, which is essential to Fullstory&rsquo;s core value proposition</li><li>
Contribute to our React-based Playback graphics app, using deep knowledge of browser behavior and canvas rendering to deliver high-fidelity session visualizations that customers trust</li><li>
Collaborate with backend engineers to design and build Go-based services that support new capture and analysis capabilities, keeping performance and scalability top of mind</li><li>
Troubleshoot cross-browser inconsistencies and edge cases, ensuring a stable and consistent experience for all users</li><li>
Partner with stakeholders across Product, Design, and Support to scope work effectively, deliver on time, and contribute to a seamless customer experience</li><li>
Participate in technical planning and code reviews, bringing your expertise in web performance, browser internals, and fullstack development to guide team success and technical quality</li></ul>
Here&rsquo;s what we&rsquo;re looking for:<ul><li>
Proven experience developing and maintaining production-grade JavaScript or TypeScript libraries or SDKs, ideally consumed by third-party applications or developers</li><li>
Demonstrated ability to work with browser APIs, DOM behavior, and rendering engines to solve complex technical challenges across different environments</li><li>
Hands-on experience building modern web applications with React, including knowledge of performance tuning and component design</li><li>
Backend development experience in a production environment using Go (or similar languages), especially in support of fullstack feature development</li><li>
A track record of collaborating cross-functionally to scope projects, meet deadlines, and deliver solutions that directly impact product adoption and customer satisfaction</li><li>
Leverage AI tools to enhance work quality and accelerate timelines by implementing AI solutions that optimize efficiency.</li></ul>
The base salary for this position ranges between $145,000 - $170,000 USD. Base salary will vary based on relevant experience, job-related skills and qualifications. This role is also eligible for a discretionary bonus of up to 10% of base salary, contingent upon Fullstory meeting its performance targets.
#LI-Hybrid #LI-SO1<h3 class="jobSectionHeader">
About Fullstory</h3>
Fullstory is a leading behavioral data platform transforming how businesses understand and improve their digital experiences. Our technology empowers companies to uncover insights, optimize customer and employee journeys, and deliver exceptional online interactions. It makes every customer experience smoother and more personalized and empowers the employees behind the scenes.
We&rsquo;re building something special at Fullstory- and we&rsquo;re looking for teammates who are curious, collaborative, and driven to make an impact. We&rsquo;re especially excited about the potential of AI to enhance efficiency, spark creativity, and elevate our work. If that resonates, explore our Winning Ways to see the values that guide how we work and grow together.
How we support you:
Fullstorians are committed to building something better- from how we approach our product, to how we care for our customers and each other. Along these lines, we offer:<ul><li>
Flexibility and Connection. We have a vibrant HQ in Atlanta and a tight-knit group in London. Fullstorians in those cities come to the office at least one day a week to build cross-functional relationships and stay connected. We also offer a flexible PTO policy and an annual company-wide closure, along with federal holidays.</li><li>
Benefits. Take care of the whole you. Fullstory offers sponsored benefit packages for US-based Fullstorians, and supplemental coverage options for international Fullstorians.</li><li>
Learning opportunities. We provide professional development opportunities through training programs and an annual learning subsidy for US and EMEA-based employees.</li><li>
Productivity support. US and EMEA-based Fullstorians receive a monthly productivity stipend.</li><li>
Team Collaboration. Connect with fellow Fullstorians through team off-sites and an annual full-company meet-up.</li><li>
Paid parental leave. Fullstorians balance the needs of their growing families without the added stress of figuring out work and finances.</li><li>
Bereavement leave, including miscarriage/pregnancy loss. Take the time to grieve and help your loved ones.</li></ul>
Fullstory is proud to be an equal-opportunity workplace dedicated to fostering an increasingly diverse community. We want candidates of all human varieties, backgrounds, and lifestyles. There&rsquo;s no problem that can&rsquo;t be made better by bringing together people with a broader set of perspectives. If our product, values, and community resonate with you, please apply&ndash; we'd love to hear from you!</div>

Senior Software Engineer, Web Capture

Cox Automotive

<div>The Senior Data Engineer is responsible for processing structured and unstructured data, validating data quality, and developing and supporting data products. The Senior Data Engineer also plays a role in Agile planning, providing advice and guidance, and monitoring emerging technologies. 
 
WHAT YOU'LL DO
 
 
KEY RESPONSIBILITIES: 
 
Process Structured and Unstructured Data 
<ul><li>
Gathers and processes raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks.</li><li>
Understands and enforces appropriate data master management techniques.</li></ul> 

Data Validation and Quality 
<ul><li>
Ensures data quality and implements tools and frameworks for automating the identification of data quality issues.</li><li>
Work with internal and external data providers on data validation providing feedback and making customized changes to data feeds and data mappings.</li></ul> 

Agile Planning 
<ul><li>
Understands the challenges that the analytics organization faces in their day-to-day work and partner with them to design viable data solutions.</li><li>
Recommends improvements to processes, technology, and interfaces that improve the effectiveness of the team and reduce technical debt.</li></ul> 

Product Development 
<ul><li>
Implements and optimizes data solutions in enterprise data warehouses and big data repositories.</li><li>
Installs, maintains, monitors, and supports business intelligence, distributed computation, and big data analytics tools.</li></ul> 

Application Support 
<ul><li>
Provides ongoing support, monitoring, and maintenance of deployed products.</li></ul> 

Advice and Guidance 
<ul><li>
Actively works with less experienced data engineers providing technical guidance and oversight.</li></ul> 

Emerging Technology Monitoring 
<ul><li>
Actively participates in the engineering community, staying up to date on new data technologies and best practices and shares insights with others in the organization.</li></ul> 

WHO YOU ARE 
 
REQUIRED QUALIFICATIONS: 
<ul><li>
Must live within a commutable distance to Atlanta GA</li><li>
Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.</li><li>
Bachelor's degree in Computer Science or related field and 4+ years related experience OR Masters Degree w/ 2+ years experience OR 16 years experience of equivalent combination of industry related professional experience and education.</li><li>
Working experience with batch and real-time data processing frameworks</li><li>
Must have strong working experience with data modelling, data access, schemas, and data storage techniques within Snowflake</li><li>
Working experience in design, development, and implementation of highly scalable, high-volume software systems and components, client-facing web applications, and major Internet-oriented applications and systems</li><li>
Working experience working with relational databases such as SQL, MySQL, Postgres/PostgreSQL</li><li>
Working experience with business intelligence tools and platforms</li><li>
Working experience with data quality tools</li><li>
Working experience with application lifecycle methodologies (e.g. waterfall, agile, iterative)</li><li>
Experience with ETL processes and tools</li><li>
Experience working with Git</li><li>
Experience working with AI related tools such as co-pilot</li><li>
Experience implementing new tools into environments</li></ul> 

PREFERRED QUALIFICATIONS: 
<ul><li>
Experience or exposure to DBT</li><li>
Scrum Developer Certification or equivalent</li><li>
Working experience with Sisense platform</li><li>
Working experience with SQL Server Integration Services</li><li>
Working experience with AWS data tools (Database Migration Service)</li><li>
Working experience with Python</li><li>
Experience working with Jira, Rally or similar tools</li></ul> 
USD 101,500.00 - 169,100.00 per year 
 
Compensation: 
 
Compensation includes a base salary of $101,500.00 - $169,100.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. 
 
Benefits: 
 
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.</div>

Sr Data Engineer

The Home Depot

<div>The Sr. Software Engineer on the Network Automation &amp; Traffic Management (NATM) team builds and improves the Go-based backend services that power Vantage and other traffic management platforms at The Home Depot. This work is conducted on Google Cloud Platform (GCP) and focuses on creating reliable, secure, and high-performance APIs that facilitate traffic movement between stores, data centers, and cloud systems.
In this role, you will design and ship backend features, enhance existing services, and help maintain the health of our production systems. You will also mentor other engineers and contribute to technical decisions around architecture, observability, security, and operations.
Key Responsibilities:<ul><li>
50% Delivery and Execution - Develops, tests, deploys, and maintains software, with a clear understanding of the value the software is to provide; Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm; Consistently achieves results, even under tough circumstances; Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production; Takes a broad view when approaching issues; using a global lens</li><li>
20% Learns and Grows - Learns through successful and failed experiments when tackling new problems; Actively seeks ways to grow and be challenged using both formal and informal development channels</li><li>
20% Plans and Aligns - Collaborates with other team members in agile processes; Creates new and better ways for the organization to be successful; Works the Product Team to ensure user stories are valuable, developer ready, easy to understand and testable; Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences; Adapts approach and demeanor in real time to match the shifting demands of different situations; Relates openly and comfortably with diverse groups of people</li><li>
10% Supports and Enables - Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions</li></ul>
Direct Manager/Direct Reports:<ul><li>
This position typically reports to the Software Engineer Manager or Sr. Manager</li><li>
This position has 0 Direct Reports</li></ul>
Travel Requirements:<ul><li>
No travel required.</li></ul>
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position, and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles.</li></ul>
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul>
Minimum Qualifications:<ul><li>
3&ndash;6+ years of software engineering experience, with a strong focus on backend development.</li><li>
2+ years of hands‑on Go (Golang) experience building production services, APIs, or tooling.</li><li>
Strong experience building and operating services on Google Cloud Platform (GCP), including one or more of:<ul><li>
GKE or other container orchestration</li><li>
Cloud Run or GCE</li><li>
Pub/Sub, Cloud SQL, Spanner, Bigtable, or similar managed services</li><li>
Cloud Logging / Cloud Monitoring (or equivalent observability stack)</li></ul></li><li>
Demonstrated experience designing and implementing RESTful or gRPC APIs and integrating with other backend services.</li><li>
Experience building cloud‑native, distributed systems with a focus on resilience, scalability, and performance (e.g., retries, timeouts, circuit breakers, caching, graceful degradation).</li><li>
Proficiency with CI/CD pipelines and automation tools (e.g., Cloud Build, Jenkins, Argo/Spinnaker, or similar), including automated testing and deployments.</li><li>
Strong experience with unit, integration, and performance testing for backend services.</li><li>
Solid understanding of version control practices and workflows (Git preferred).</li><li>
Ability to troubleshoot complex issues in distributed systems using logs, metrics, and traces.</li><li>
Strong communication and collaboration skills; ability to work effectively in a cross‑functional, platform‑oriented team and to mentor junior engineers.</li></ul>
Preferred Qualifications:<ul><li>
Experience building or supporting networking/traffic management/service mesh platforms (e.g., Envoy, API Gateway, mTLS, service discovery, routing policies).</li><li>
Experience with security and identity patterns for services, such as OAuth2/OIDC, mTLS, JWT, SPIFFE/SPIRE, or similar frameworks for service‑to‑service authentication and authorization.</li><li>
Experience working with high‑availability, multi‑region systems and designing for SLOs, error budgets, and incident response.</li><li>
Experience contributing to or maintaining platforms used by other engineering teams (internal developer platforms, shared APIs, or self‑service tools).</li><li>
Familiarity with infrastructure‑as‑code and configuration tooling (e.g., Terraform, Helm, Kustomize).</li><li>
Prior experience in a platform / SRE / infrastructure team supporting other product teams is a plus.</li><li>
Experience with PCF migrations, domain management, or legacy proxy retirement is a plus but not required.</li></ul>
Minimum Education:<ul><li>
The knowledge, skills, and abilities are typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
3</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul></div>

Sr. Software Engineer, NATM (REMOTE)

<div>Position Purpose:
The Sr Machine Learning Engineer is responsible for joining a product team and contributing to the software design, algorithm design, and overall product lifecycle for a product that our users love. The engineering process is highly collaborative. Sr ML Engineers are expected to pair daily as they work through user stories and support products as they evolve. 
ML Engineers may be involved in designing and implementing AI/ML algorithms to embed directly into software products. Activities may include using specific HD process techniques, integration, design, and development. The role could interface with Business Stakeholders, Technology Infrastructure teams, and Development teams to ensure that business requirements are properly met within a machine learning solution. The role may also be involved in performance tuning, testing, and product monitoring. Other responsibilities may include performing customer outreach, designing ML educational material, and data engineering. 
Sr ML Engineers should be able to operate independently though will typically work as part of a team with varying skill levels to create, support, and deploy production applications. This role will review submitted code and provide feedback to improve, based on best practices. 
Key Responsibilities:<ul><li>
70% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions; Documents, reviews, and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do &quot;destructive testing&quot; to ensure adequate resiliency in production; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively</li><li>
10% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations</li><li>
20% Support and Enablement - Fields questions from other product teams or support teams; Monitors tools and participates in conversations to encourage collaboration across product teams; Provides application support for software running in production; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This Position typically reports to Software Engineer Manager or Sr. Software Engineer Manager</li><li>
This Position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
2 - 4 years of relevant work experience</li><li>
Experience to algorithms such as clustering, forecasting, anomaly detection, and neural networks.</li><li>
Experience to basic statistics and regression algorithms</li><li>
Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc</li><li>
Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc- Experience in a modern scripting language (preferably Python)</li><li>
Experience with GPU acceleration (i.e. CUDA and cuDNN)</li><li>
Experience in modern web application framework such as Node.js</li><li>
Experience in a front-end technology and framework such as HTML, CCS, JavaScript, ReactJS, D3</li><li>
Experience in writing SQL queries against a relational database</li><li>
Experience in version control systems (preferable Git)</li><li>
Experience in a Linux or Unix based environment</li><li>
Experience in a CI/CD toolchain</li><li>
Experience in REST and effective web service design</li><li>
Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security</li><li>
Familiarity with NoSQL databases</li><li>
Familiarity with cloud computing platform and associated automation patterns and machine learning services they provide</li><li>
Familiarity with defensive coding practices and patterns for high Availability</li><li>
Familiarity with A/B testing and effective REST design for scalable web services architecture</li><li>
Familiarity with advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
2</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul></div>

Senior Machine Learning Engineer (Remote)

Metas Solutions

<div>Metas Solutions has an &quot;opening&quot; for a talented Senior Data Engineer based in Atlanta, GA. The ideal candidate must be able to work onsite in the Atlanta metro area and someone who's proficient in Databricks workspaces and Azure infrastructure. In this position, you'll drive the next generation of our analytics products by architecting and delivering end-to-end cloud analytics solutions. In a fully cloud-native environment, you'll partner with product managers, data scientists, software engineers, machine learning (ML) engineers and business analysts to enable and support a platform that powers personalized experiences and operational efficiency. You'll leverage automated model CI/CD, containerized deployments (Docker/Kubernetes), and real-time monitoring to ensure our ML systems are reliable, secure, and scalable.
You will be responsible for the design, implementation, and maintenance of the Databricks workspaces and its associated Azure infrastructure. You will manage and optimize data and machine learning workloads, ensuring a reliable, secure, and scalable platform for business analysts, data engineering and data science teams.
Responsibilities:<ul><li>
Lead the administration and governance framework of the platform regarding the security posture of the enterprise and its key stakeholders</li><li>
Design and implement automated solutions to streamline accounts and workspace administration</li><li>
Collaborate with cross-functional teams to understand business needs and translate them into ML solutions</li><li>
Mentor junior engineers and provide technical leadership in Databricks best practices and techniques</li><li>
Conduct cost and performance analysis of the various computes, and data assets within the platform</li><li>
Stay current with the latest advancements in Databricks SQL, Machine Learning and AI, and integrate new technologies and methods as applicable</li><li>
Engage in knowledge sharing and contribute to building a strong, collaborative team environment</li></ul>
Qualifications:<ul><li>
5+ years of experience with Databricks Account and Workspace Administration, including governance, configuration, and security management</li><li>
Experience with optimizing Databricks environments for cost efficiency, performance, and reliability</li><li>
Experience with developing and maintaining Databricks data pipelines using Autoloader, Delta Live Tables, and Databricks Workflows</li><li>
Experience with implementing MLOps solutions using MLflow 2.0/3.0, Serving Endpoints, and Model Registry in production environments</li><li>
Experience with Databricks SQL tools such as Queries and AI/BI Dashboards</li><li>
Experience with large datasets and distributed computing across cloud platforms (AWS, GCP, Azure), including Azure services like Entra ID, Data Factory, Key Vault, and Purview</li><li>
Knowledge of Unity Catalog Governance Architecture and enterprise data security best practices</li><li>
Possession of strong communication and documentation skills with the ability to clearly convey complex technical concepts to both technical and non-technical audiences</li><li>
Ability to work on-site in Atlanta, Georgia</li><li>
Master's degree in computer science, Computer Engineering, or related programs</li></ul>
Additional Qualifications:<ul><li>
Knowledge of Azure Cloud Networking concepts like VNET Injection</li><li>
Databricks Platform Administrator Certification</li><li>
Microsoft Certified: Azure Administrator Associate</li></ul>
Security Requirements:<ul><li>
Must be US Citizen and with the ability to obtain a US Government security clearance (Public Trust 5) within a reasonable period</li><li>
Market competitive salary, commensurate with experience and education</li><li>
Comprehensive benefits package available, Medical, Dental, Vision and Life Insurance, Paid Time Off (PTO), 401K with company match, growth, and promotion opportunities</li></ul>
We are an Equal Opportunity Employer/Veterans/Disabled</div>

Senior 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.
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>

Powerplan

<div>Overview:
<div>
This role is a high‑impact opportunity to shape the next generation of PowerPlan&rsquo;s cloud‑native SaaS platform (NXT). The Senior Software Developer owns delivery of scalable, maintainable services while playing a critical role in the company&rsquo;s modernization effort from legacy PowerBuilder systems to modern C#/Angular architectures - and in embedding intelligent capabilities across the platform through classical machine learning pipelines and Generative AI (GenAI) solutions.</div><div></div><div> 
The developer will contribute to architecture decisions, accelerate engineering quality, and influence the team&rsquo;s engineering culture through high standards in code, testing, and collaboration. This includes designing and integrating ML-driven prediction and feedback loops, building Retrieval-Augmented Generation (RAG) pipelines, and delivering LLM-powered features such as intelligent chatbots and contextual assistants within the application stack.</div><div></div><div> 
This is an ideal role for someone who thrives in challenging technical environments, enjoys solving complex business problems, and wants to help define the future of a platform trusted by regulated utilities for decades.</div><div></div><div> 
COMPANY</div><div>
PowerPlan provides enterprise cloud solutions that enable energy and regulated utility organizations to manage financial, tax, and operational workflows with precision and confidence. We are modernizing a trusted legacy platform into a modular, cloud‑native architecture powered by Azure services, modern front‑end frameworks, and increasingly AI‑enabled workflows - from predictive analytics and automated decision support to GenAI-powered user experiences. We value curiosity, collaboration, and engineering excellence, and we empower developers to punch above their weight, take ownership, and grow with a product suite undergoing major technical transformation.</div>
Responsibilities:
<div>
KEY PERFORMANCE OBJECTIVES (First 12 Months)</div><div></div><div> 
OBJECTIVE 1: Master System Architecture &amp; Project Context (First 4&ndash;6 Weeks)</div><div></div><div> 
Outcome: Within 4&ndash;6 weeks, develop a complete understanding of assigned modules, system interactions, legacy dependencies, and cloud‑native components, and the current state of ML and GenAI integrations across the platform. Deliver a 15&ndash;20 minute knowledge presentation to the Director of Software Development demonstrating architectural fluency, including a map of where ML models, LLM services, and data pipelines currently exist or are planned. 
Impact: Ensures rapid ramp‑up, prevents rework due to unclear assumptions, and enables independent contribution to the NXT platform. 
How: Meet with architects, SMEs, QA, and end users; review codebases, ADRs, data flows, and sprint artifacts; explore NXT services and legacy PowerBuilder components; audit existing ML models, feature stores, embedding pipelines, and LLM integration points; synthesize findings into a clear architectural narrative.</div><div></div><div> 
OBJECTIVE 2: Establish a Growth &amp; Contribution Roadmap (First 6 Weeks)</div><div></div><div> 
Outcome: Develop a 6‑week roadmap covering technical upskilling, user interaction expectations, backlog contribution targets, test coverage goals, and at least three improvements to team tooling or workflow. Include a personal development plan for deepening applied ML/GenAI skills relevant to the NXT platform (e.g., RAG architecture patterns, prompt engineering, ML model serving). Review with the Software Development Manager. 
Impact: Reinforces a culture of proactive ownership and continuous improvement while increasing predictability and delivery quality - and ensures the team builds durable AI/ML capability, not just one-off experiments. 
How: Analyze sprint metrics, collaborate with cross‑functional partners, identify gaps in automation or documentation, evaluate CI/CD and testing workflows, assess current ML pipeline maturity and GenAI integration readiness, and define measurable, time‑bound goals.</div><div></div><div> 
OBJECTIVE 3: Deliver High‑Quality, Production‑Ready Features - Including AI/ML-Powered Capabilities (Ongoing)</div><div></div><div> 
Outcome: Consistently design, develop, and deliver cloud‑native features aligned with NXT architecture standards. Code meets definition‑of‑done criteria, includes meaningful automated tests, and requires minimal rework across sprints. This includes building and maintaining features powered by classical ML (prediction models, anomaly detection, recommendation engines) and GenAI (RAG-based search, LLM-driven chatbots, intelligent document processing) as part of the core product experience. 
Impact: Ensures platform stability, improves time‑to‑value for customers, and builds a maintainable foundation aligned with long‑term architectural goals - where AI capabilities are first-class, production-grade services, not prototypes. 
How: Collaborate with Product, Architecture, QA, and CloudOps; write clean C#/Angular code; integrate ML inference endpoints and LLM APIs into application services; design feedback loops that capture user interactions to retrain or fine-tune models; participate in code reviews; follow CI/CD practices; contribute to documentation and design records.</div><div></div><div> 
OBJECTIVE 4: Advance the Company&rsquo;s Modernization Strategy &amp; AI Integration Strategy (Ongoing)</div><div></div><div> 
Outcome: Contribute to the broader modernization effort by delivering refactored services, improving code quality standards, and identifying opportunities for automation or simplification of legacy integrations. Proactively identify where classical ML predictions, GenAI assistants, or LLM-powered workflows can replace manual processes, accelerate user workflows, or unlock new product value. Demonstrate consistent, measurable progress toward long‑term PowerBuilder deprecation goals. 
Impact: Strengthens architectural consistency, reduces maintenance burden, and accelerates the migration to a scalable, cloud‑native platform, and positions the product as an AI-enhanced solution in the regulated utility market. 
How: Work closely with architects, CloudOps, and InfoSec to ensure modernization aligns with performance and security requirements; apply event‑driven and microservice patterns; enhance observability; design and deploy RAG pipelines using vector databases and embedding models; build conversational interfaces backed by LLMs with appropriate guardrails for regulated environments; and proactively mitigate architectural risks.</div><div></div><div> 
OBJECTIVE 5: Raise Team Productivity Through AI‑Assisted Development (First 6 Months)</div><div></div><div> 
Outcome: Within 6 months, demonstrate measurable productivity gains (improved cycle time, higher test coverage, or increased story throughput) directly linked to AI‑assisted development tools. Additionally, contribute reusable patterns, SDKs, or internal libraries that make it easier for the broader team to integrate ML models and LLM services into their own features. 
Impact: Transforms AI from experimental tooling into a stable productivity multiplier across the engineering team, enabling faster feature delivery and modernization progress - while building institutional knowledge around applied ML/GenAI engineering. 
How: Use AI tools for coding, testing, documentation, and refactoring; experiment with prompts and workflows; track before/after results; mentor peers; share RAG, chatbot, and ML integration patterns; and contribute patterns to AI team guidelines.</div><div></div><div> 
OBJECTIVE 6: Maintain High Operational Reliability Across Owned Services - Including ML/AI Components (Ongoing)</div><div></div><div> 
Outcome: Deliver services with strong unit, integration, and regression test coverage; meet incident response SLAs; and demonstrate reductions in defects and operational interruptions over time. For ML and GenAI features, ensure model performance is monitored, inference latency is within SLA, and outputs are validated against quality and safety thresholds &mdash; especially in regulated financial and tax contexts. 
Impact: Improves customer satisfaction, reduces production risk, and enables more capacity for new feature development - while ensuring AI-powered features meet the reliability and compliance standards expected by utility customers. 
How: Monitor logs and alerts; participate in on‑call rotations; conduct root‑cause analysis; refactor fragile areas; implement model monitoring, drift detection, and LLM output validation; collaborate with CloudOps/InfoSec to satisfy operational and compliance standards.</div>
Qualifications:
<div>
WHAT YOU BRING</div> 
<div></div><ul><li>
7&ndash;10+ years of hands‑on software development experience with enterprise‑grade applications.</li><li>
Strong proficiency in C#/.NET, Angular or React, and cloud‑native development on Azure.</li><li>
Experience modernizing legacy systems, including migration from monoliths to modular services.</li><li>
Deep understanding of microservices, RESTful API design, and event‑driven architectures.</li><li>
Working knowledge of CI/CD pipelines, automated testing, and DevOps practices.</li><li>
Working experience integrating classical machine learning models into application workflows &mdash; including building prediction endpoints, feature pipelines, model serving (e.g., ML.NET, Azure ML, ONNX), and feedback loops that capture outcomes to improve model accuracy over time.</li><li>
Hands-on experience with Generative AI and LLM integration, including:</li><li><ul><li>
Designing and implementing Retrieval-Augmented Generation (RAG) architectures using vector databases (e.g., Azure AI Search, Pinecone, Weaviate) and embedding models.</li><li>
Building conversational AI features such as chatbots or copilot-style assistants powered by LLMs (e.g., Azure OpenAI, OpenAI API).</li><li>
Prompt engineering, context management, and implementing guardrails/safety layers for LLM outputs in enterprise and regulated environments.</li></ul></li><li>
Familiarity with ML Ops practices: model versioning, A/B testing of models, monitoring model drift, and managing inference pipelines in production.</li><li>
Strong communication skills and the ability to collaborate across architecture, product, QA, and CloudOps.</li><li>
Experience using AI‑assisted development tools (GitHub Copilot, Cursor, Windsurf) and familiarity with LLM‑based tooling.</li><li>
Demonstrated ownership mindset: follows through, escalates blockers early, and raises the engineering bar.</li></ul><div>
PowerPlan is an EOE</div><div>
Applicant Privacy Notice</div><div></div> 
Please note that this is a hybrid role that involves a combination of onsite work from our corporate office as well as work from home. While we strive to accommodate flexible working arrangements when sensible, there will be times when onsite work is required. This could include scheduled office days, team meetings, client meetings, or special events.</div>

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