senior data engineer

sr. data analyst

sr. financial analyst

ai trainer/data annotator - remote Jobs in Atlanta

ai trainer/data annotator - remote

data analyst agile analytics data governance onsite role onsite interview usc gc only on w2

Craftner Inc

Project Manager (IT) Senior/ Release Train Engineer RoleLocation: Atlanta (Onsite)Experience: 10+Preferred: W2 onlyJDThe release train engineer (RTE) coaches and supports an agile &ldquo;team of teams&rdquo; known as an agile release train (ART). The RTE is focused primarily on relentless improvement via Program Increment (PI) planning/execution, measuring delivery and flow of the ART, and tracking the execution of features and capabilities.Key ResponsibilitiesSupporting Program Increments (PI)<ul><li>Plan, organize and facilitate ART ceremonies (e.g. program increment (PI) planning, ART sync, product owner (PO) sync, scrum of scrums, ART system demos, and inspect &amp; adapts). These events help track progress, escalate problems, and resolve dependencies.</li><li>Support PI execution &ndash; significant responsibility for the successful execution of the PI, including tracking execution of the features in the ART Kanban, ensuring the ART meets its definition of done.</li><li>Encourage collaboration between teams, following the SAFe methodology and framework. Contributing to the advancement and improvement of agile practices within the organization.</li></ul>Measuring Delivery and Flow<ul><li>Ensure ART delivery, maturity, and performance by establishing ART flow measures and dashboards, overseeing development of reports and analysis to track progress towards goals, ex:</li><li>Program Boards</li><li>Delivery Plans</li><li>PI Predictability, Feature/PBI Burndown, Cycle Time and Velocity</li><li>Status Reporting/OKRs</li><li>Govern best practice usage of Azure DevOps (ADO), ensuring data quality and integrity for the ART via ADO queries, audits, and coaching/training of teams.</li></ul>Assist in Tracking the Execution of Features and Capabilities<ul><li>Facilitate agreement of milestones, cadence of increments and releases for the ART</li><li>Coordination of deployment and release activities for the ART</li><li>Manage and coordinate ART and Solution dependencies</li><li>Work with the business, product, and delivery teams to identify risks or impediments to achieving objectives. </li></ul>Skills and Experience<ul><li>Understanding of and experience with SAFe.</li><li>Experience with agile frameworks such as Scrum or Kanban.</li><li>Strong interpersonal and communication skills (written, verbal, presentation).</li><li>Experience in supervising or leading teams; demonstrated ability to drive and influence peers.</li><li>Strong analytical and problem-solving skills.</li><li>Experience in coaching and mentoring teams in agile principles and practices.</li><li>Experience in leading and facilitating agile ceremonies.</li><li>Experience fostering team self-organization and continuous improvement.</li><li>Experience with Azure DevOps (preferred)</li><li>Experience using enterprise agile planning tools (e.g. Azure DevOps, Planview Leankit/EnterpriseOne, Atlassian Jira Align, Broadcom Rally, Apptio Targetprocess).</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree (or equivalent years of experience).</li><li>Agile, Scrum, SAFe or project management certifications preferred (e.g. SA, SPC, RTE, CSM, CSP, PMI).</li></ul>Background in wealth management or finance industry is preferredJob Type: ContractPay: Up to $55.00 per hourWork Location: In person

Project Manager (IT) Senior/ Release Train Engineer Role - Only W2

Powerplan

<div>Overview:

The Senior AI/ML Engineer will modernize and scale the company&rsquo;s enterprise data and AI platform by designing AI-ready data models, operationalizing ML systems, and enabling natural-language analytics through Databricks Genie or equivalent AI tooling.
This role exists to shift the organization from dashboard-driven analytics to AI-powered decision intelligence at enterprise scale.
Responsibilities:

Performance Objectives 
Modernize and Operationalize the Analytics Data Platform
Within 6&ndash;9 months, design and implement a scalable medallion-based architecture (Bronze/Silver/Gold) in Databricks or Snowflake that supports AI-ready datasets, improves query performance by 30%, and reduces data reliability incidents by 40%.
Subtasks:<ul><li>
Redesign analytical data models for AI/ML consumption</li><li>
Implement governance using Unity Catalog or Snowflake controls</li><li>
Optimize distributed compute performance</li><li>
Establish monitoring and quality validation checkpoints</li></ul> 
Enable AI-Ready Data Modeling &amp; Governance
Within 6 months, establish semantic models and metadata standards that enable business-facing AI querying with 95% data trust rating from stakeholders.
Subtasks:<ul><li>
Standardize schema design for ML and GenAI workloads</li><li>
Align business definitions with governed datasets</li><li>
Implement lineage and access controls</li><li>
Reduce duplicate or conflicting metric definitions</li></ul> 
Build and Deploy Production-Grade ML Pipelines
Within 9&ndash;12 months, implement reusable ML lifecycle pipelines (experimentation training evaluation deployment) that reduce time-to-production for ML models by 50%.
Subtasks:<ul><li>
Standardize MLflow/Feature Store workflows</li><li>
Implement CI/CD for ML</li><li>
Improve model observability and drift monitoring</li><li>
Establish model documentation standards</li></ul> 
Implement Natural Language AI Analytics (Databricks Genie Enablement)
Within 6 months, deploy and optimize Databricks Genie (or equivalent AI query interface) enabling business users to generate accurate plain-language insights with 80% adoption across target user groups.
Subtasks:<ul><li>
Translate business questions into semantic AI-ready datasets</li><li>
Improve response accuracy through model + metadata tuning</li><li>
Partner with Product on use-case prioritization</li><li>
Track and improve AI query accuracy and user engagement</li></ul> 
Democratize AI Across Business Teams
Within 12 months, embed AI-driven analytics into at least 3 core business workflows, demonstrating measurable business impact (e.g., cost reduction, revenue lift, or decision cycle time improvement).
Subtasks:<ul><li>
Identify high-value AI use cases</li><li>
Collaborate cross-functionally</li><li>
Deliver production-ready AI solutions</li><li>
Document business ROI outcomes</li></ul> 
Establish Enterprise AI Platform Standards
Within 12 months, define and institutionalize architectural standards, best practices, and governance frameworks adopted across Engineering and Analytics teams.
Subtasks:<ul><li>
Publish architecture reference patterns</li><li>
Lead design reviews</li><li>
Mentor engineers</li><li>
Influence long-term AI strategy</li></ul> 
Success Metrics Summary<ul><li>
30%+ performance improvement in analytics workloads</li><li>
40%+ reduction in data quality incidents</li><li>
50% reduction in ML deployment cycle time</li><li>
80% Genie adoption in target group</li><li>
3+ AI use cases with measurable ROI</li><li><ul><li>95% stakeholder trust in AI-generated insights</li></ul></li></ul>
Qualifications:

Growth &amp; Career Move
This is a high-impact platform leadership role enabling enterprise AI transformation. The individual will shape architecture standards, influence executive AI strategy, and lead the shift from traditional BI to AI-powered decision intelligence.
Required Qualifications<ul><li>
10+ years of experience in Data Analytics, Data Engineering, ML Engineering, or AI Engineering</li><li>
Strong hands-on experience with Databricks or Snowflake in production environments</li><li>
Expertise in SQL, Python, and distributed data processing (Spark preferred)</li><li>
Strong understanding of data modeling for analytics and AI</li><li>
Experience building and deploying ML models in real-world systems</li><li>
Familiarity with LLMs, GenAI concepts, and AI-assisted analytics</li><li>
Experience with ML lifecycle tools (MLflow, Feature Stores, CI/CD for ML)</li></ul><div></div><div> 
Preferred Qualifications</div><ul><li>
Direct experience with Databricks Genie or AI-powered BI tools</li><li>
Experience with Unity Catalog, Delta Live Tables, or Snowflake governance features</li><li>
Exposure to Azure, AWS, or GCP cloud platforms</li><li>
Experience working in regulated or enterprise SaaS environments</li><li>
Ability to explain complex technical concepts to non-technical stakeholders</li></ul><div></div><div> 
What Success Looks Like in This Role</div><ul><li>
Business users can ask questions in plain English and get trusted, accurate insights</li><li>
Data models are AI-ready, scalable, and well-governed</li><li>
ML models move smoothly from experimentation to production</li><li>
Databricks Genie adoption grows with measurable business impact</li><li>
AI is embedded into analytics not bolted on</li></ul><div></div><div> 
Why Join Us</div><ul><li>
Work on real AI/ML problems at enterprise scale</li><li>
Influence the evolution of a modern data + AI platform</li><li>
Partner with senior leaders shaping the company&rsquo;s AI-first future</li><li>
Build systems that turn data into decisions not dashboards</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>

Senior Databricks AI Engineer

GoHealth Urgent Care

<div>You&rsquo;re more valuable than ever &ndash; And that&rsquo;s just how we&rsquo;ll make you feel.
Job Summary 
The Data Product Owner is responsible for leading the development and delivery of data products 
that support business strategy and decision-making. This role collaborates with cross-functional 
teams&mdash;including stakeholders, data engineers, analysts, and business units&mdash;to define product 
vision, manage the product backlog, and ensure execution of data initiatives aligned with 
organizational goals and user needs. 
Qualifications 
Education Required:<ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, Information Technology, Business, or a related field.</li></ul>
Work Experience Required:<ul><li>
3+ years&rsquo; experience as a Product Owner, Product Manager, or similar role in a data-driven environment.</li><li>
Strong background in data engineering, data analytics, or data science.</li><li>
Experience working with cloud platforms (e.g., AWS, Google Cloud, Snowflake) and data tools (e.g., SQL, ETL, BI tools).</li></ul>
Preferred Qualifications, Education, Licenses, Certifications, Experience, etc.:<ul><li>
Experience in data modeling, API management, and machine learning would be advantageous.</li><li>
Certified Scrum Product Owner (CSPO) or equivalent Agile Product Owner certification.</li><li>
Certified Product Manager (CPM) or Pragmatic Institute Certification.</li><li>
DAMA Certified Data Management Professional (CDMP) or equivalent data governance/data management certification.</li><li>
Tableau Desktop Specialist or Tableau Certified Data Analyst.</li><li>
dbt Fundamentals or dbt Advanced Certification.</li><li>
Snowflake SnowPro Core Certification.</li><li>
Certification in Agile (e.g., Certified SAFe Product Owner/Product Manager).</li><li>
Experience working with data products or platforms like Snowflake, BigQuery, or Azure Data Lake.</li><li>
A Master&rsquo;s degree is a plus</li></ul>
Knowledge, Skills, and Abilities<ul><li>
This role involves interaction and collaboration with other departments and requires excellent judgment and interpersonal skills.</li><li>
Strong understanding of Agile methodologies with experience managing product backlogs using tools such as Jira, Azure DevOps, or similar platforms.</li><li>
Excellent communication and leadership skills, with the ability to translate complex technical concepts into clear business language.</li><li>
Analytical mindset with the ability to interpret complex data and make informed, data driven decisions.</li><li>
Knowledge of data governance, data security, and compliance best practices.</li><li>
Proven ability to manage stakeholders and collaborate effectively with cross-functional teams.</li></ul>
Essential Duties and Responsibilities 
Product Strategy &amp; Vision<ul><li>
Define and communicate the vision and roadmap for data products, ensuring alignment with business goals and stakeholder needs.</li><li>
Collaborate with stakeholders to understand business objectives, user requirements, and product opportunities.</li><li>
Prioritize and manage the data product backlog in alignment with organizational goals, ensuring that all features, enhancements, and technical improvements are documented, approved, and scheduled in accordance with established processes.</li><li>
Translate approved business requirements into clear, detailed user stories and acceptance criteria that provide actionable direction for technical teams.</li><li>
Collaborate with Data Engineering, Business Intelligence, and Data Governance teams to maintain, refine, and update the backlog, ensuring alignment with regulatory, operational, and security standards.</li><li>
Ensure backlog items are accurately documented, appropriately prioritized, and properly estimated, in compliance with Agile delivery practices and internal change management procedures.</li><li>
Support sprint planning and release management activities by confirming that all backlog items meet defined readiness criteria prior to development.</li><li>
Maintain records of backlog prioritization decisions and stakeholder approvals in accordance with GoHealth Urgent Care policies and applicable data governance frameworks.</li></ul>
Stakeholder Engagement<ul><li>
Act as the primary liaison between business stakeholders and technical teams to ensure alignment and transparency</li><li>
Facilitate regular stakeholder meetings to gather feedback, resolve issues, and adjust the data product roadmap</li></ul>
Development Oversight<ul><li>
Guide cross-functional teams through the data product development lifecycle, from concept to delivery</li><li>
Ensure data products are built to specification, meet quality standards, and are delivered on time</li><li>
Collaborate on acceptance criteria and review completed work to confirm it meets the definition of done</li></ul>
Data Governance &amp; Quality<ul><li>
Ensure data products maintain integrity, accuracy, and accessibility</li><li>
Support the development and implementation of data governance frameworks and policies</li></ul>
Market &amp; User Research<ul><li>
Conduct market and competitive analysis to identify opportunities and gaps in data products</li><li>
Engage with end users to gather insights, identify pain points, and validate product value</li></ul>
Product Metrics &amp; Performance<ul><li>
Define and monitor KPIs to evaluate product performance and drive continuous improvement</li><li>
Present performance insights to leadership, highlighting key metrics, risks, and opportunities</li></ul>
Innovation &amp; Improvement<ul><li>
Stay current with &bull; Stay current with industry trends in data, analytics, and technology</li><li>
Recommend new tools, technologies, and methodologies to enhance data product capabilities industry trends in data, analytics, and technology</li><li>
Recommend new tools, technologies, and methodologies to enhance data product capabilities</li></ul>
GoHealth Core Values 
GoHealth&rsquo;s Core Values, listed below, are essential functions of this position:<ul><li>
Collaboration: Takes ownership for collectively establishing productive partnerships and relationships and seek to gain joint understanding of priorities and objectives so that the greater good of the organization and those we serve is always at the forefront.</li><li>
Innovation: Consistently uses good judgment, applying creativity to overcome obstacles and increasing effectiveness and efficiency through process and other forms of innovation.</li><li>
Diversity &amp; Inclusion: Fosters diversity and inclusion, to be able to better understand team members, our customers and partners. Engages the strengths and talents of each GoHealth team member, creating an environment of involvement, respect and connection where the richness of ideas, backgrounds and perspectives are harnessed.</li><li>
Courage &amp; Integrity: Models and practices the highest ethical and professional standards; demonstrates pride and personal interest in our patients, partners and fellow team members, deeply engaging in the business. Makes decisions, with a focus on doing the right thing; treats team members, our customers, partners and vendors with dignity, consideration, open-mindedness and respect.</li><li>
Accountability: Always shows initiative, demonstrates a bias to action and gets things done. Actively accepts responsibility for diverse roles, obligations and actions that positively influence patient and customer outcomes, our partnerships and the healthcare needs of our communities.</li></ul>
Physical Requirements<ul><li>
Office Environment: Tasks may be conducted within a climate-controlled office setting.</li><li>
Physical Activity: The role may require the ability to lift, carry, push, or pull materials, supplies, and equipment (up to 25 lbs.). Duties typically involve a combination of sitting, standing, and walking, with frequent changes in position.</li><li>
Travel: Travel may be required, including travel between Company locations and out-oftown destinations as needed. Up to 10%.</li><li>
Safety Equipment: May require the use of safety equipment for infection prevention.</li></ul>
_________________________________________________________________________________________________________ 
Note: This Job Description is not inclusive of all the duties of the position. You may be asked by Leaders 
to perform other duties. Leadership may revise this job description at any time.
Set up email alerts as new job postings become available that meet your interest!
All qualified persons are granted an equal opportunity for employment without regard to race, color, religion, sex, sexual orientation and gender identity or expression, age, national origin, citizenship status, disability, genetic information, medical condition, family care leave status, pregnancy or pregnancy-related condition, otherwise qualified disabled or veteran status. The company will comply with all fair employment laws in each of the jurisdictions where we conduct business. 
 
For applicants in California, please review our California Consumer Privacy Statement here. https://www.gohealthuc.com/privacy-policy</div>

Data Product Owner

Guidehouse

<div>Job Family:
Business Systems Analysis 
Travel Required:
Up to 25% 
Clearance Required:
None
What You Will Do:
Guidehouse is seeking a Technical Business Analyst to support Agile software development projects for federal and commercial clients in the Health industry. This role is ideal for a seasoned analyst who can independently lead requirements activities, partner closely with technical and business leadership, and contribute to overall delivery success.
As a Technical Business Analyst, you will serve as a trusted advisor to clients and internal teams, owning complex requirement efforts and helping shape scalable, high-quality software solutions in an Agile environment.
Key responsibilities include:<ul><li>
Lead requirements elicitation, analysis, documentation, and validation efforts for Agile software development initiatives</li><li>
Translate complex business needs into clear, testable user stories, epics, features, and acceptance criteria</li><li>
Partner with Product Owners to manage, prioritize, and refine the product backlog</li><li>
Act as a primary liaison between client stakeholders and technical delivery teams</li><li>
Facilitate Agile ceremonies, including backlog grooming, sprint planning, sprint reviews, and retrospectives</li><li>
Define and document functional and non-functional requirements (e.g., security, performance, integration, scalability)</li><li>
Support solution design discussions by providing business and system-level insights</li><li>
Identify and manage requirements-related risks, dependencies, assumptions, and impacts</li><li>
Support testing, defect triage, and user acceptance activities to ensure solutions meet business intent</li><li>
Contribute to project planning, estimation, and delivery reporting as needed</li><li>
Mentor junior analysts and contribute to team knowledge sharing and best practices</li></ul>
What You Will Need:<ul><li>
A bachelor&rsquo;s degree is required</li><li>
US Citizenship or a Green card is required</li><li>
A minimum of FIVE (5) years of experience as a Business Analyst supporting software development projects</li><li>
Must be willing to work TWO (2) days ONSITE- Hybrid</li><li>
Demonstrated experience working in Agile/Scrum environments</li><li>
Strong ability to independently lead requirements efforts with minimal oversight</li><li>
Experience translating business needs into technical artifacts (user stories, workflows, data requirements, APIs)</li><li>
Proficiency with Agile and collaboration tools such as Jira, Confluence, Azure DevOps, or similar</li><li>
Experience defining, prioritizing, and delivering data‑driven product capabilities leveraging modern cloud data platforms such as Snowflake and/or Databricks</li><li>
Knowledge of Health industry related software needs and acumen</li><li>
Strong stakeholder management, facilitation, and communication skills</li><li>
Ability to manage competing priorities across multiple workstreams</li></ul>
What Would Be Nice to Have:<ul><li>
Experience supporting federal government clients or highly regulated environments</li><li>
Familiarity with modern software architectures (cloud-native, microservices, APIs)</li><li>
Experience collaborating with UX/UI designers and applying design thinking practices</li><li>
Agile or business analysis certifications (CSPO, CSM, PMI-PBA, SAFe, or similar)</li><li>
Experience contributing to proposals, SOWs, or client-facing deliverables</li></ul>
The annual salary range for this position is $89,000.00-$148,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. 
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:<ul><li>
Medical, Rx, Dental &amp; Vision Insurance</li><li>
Personal and Family Sick Time &amp; Company Paid Holidays</li><li>
Position may be eligible for a discretionary variable incentive bonus</li><li>
Parental Leave and Adoption Assistance</li><li>
401(k) Retirement Plan</li><li>
Basic Life &amp; Supplemental Life</li><li>
Health Savings Account, Dental/Vision &amp; Dependent Care Flexible Spending Accounts</li><li>
Short-Term &amp; Long-Term Disability</li><li>
Student Loan PayDown</li><li>
Tuition Reimbursement, Personal Development &amp; Learning Opportunities</li><li>
Skills Development &amp; Certifications</li><li>
Employee Referral Program</li><li>
Corporate Sponsored Events &amp; Community Outreach</li><li>
Emergency Back-Up Childcare Program</li><li>
Mobility Stipend</li></ul>
About Guidehouse
Guidehouse is an Equal Opportunity Employer&ndash;Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse&rsquo;s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant&rsquo;s dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.</div>

Technical Business Analyst (Health)

AT&T

<div>This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.
Overview
GrowthHub is a new platform designed to help ATS employees unlock their full potential. GrowthHub provides personalized insights into skills and recommended growth opportunities tailored to each individuals unique journey in ATS. ATS is building this platform to invest in individual development and ensure employees have the resources and support to achieve their career aspirations. In GrowthHub, employees will be able to validate their skills, add new skills, choose where they want to grow, build their own growth plan, and equip themselves to proactively evolve their skills for future ATS initiatives.
What You'll Do: 
As a Lead Data Analyst, you will drive data-driven decision-making by leading the analysis and interpretation of complex datasets, ensuring high-quality insights that support strategic business initiatives and operational efficiency.<ul><li>
Lead data analysis to deliver actionable insights.</li><li>
Design and implement data analysis methodologies to solve business problems.</li><li>
Collaborate with cross-functional teams to understand data needs and deliver tailored analytics solutions.</li><li>
Develop dashboards, reports, and visualizations to communicate findings effectively to stakeholders.</li><li>
Ensure data integrity, accuracy, and consistency across reporting platforms.</li><li>
Identify trends, patterns, and anomalies in data to guide strategic planning.</li><li>
Stay current with industry trends and best practices in data analysis and visualization tools.</li></ul>
What You'll Bring:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Computer Science, or related field.</li><li>
Extensive experience in data analysis, preferably in a leadership role.</li><li>
Proficiency in SQL, Python/R, and data visualization tools such as Tableau or Power BI.</li><li>
Strong analytical thinking, problem-solving skills, and attention to detail.</li><li>
Excellent communication skills to translate complex data into clear business insights.</li></ul>
Our Lead Data Analyst, earns between $116,700.00 - $175,100.00 USD Annual, not to mention all the other amazing rewards that working at AT&amp;T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.
Joining our team comes with amazing perks and benefits:
<ul><li>Medical/Dental/Vision coverage</li><li>
401(k) plan</li><li>
Tuition reimbursement program</li><li>
Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)</li><li>
Paid Parental Leave</li><li>
Paid Caregiver Leave</li><li>
Additional sick leave beyond what state and local law require may be available but is unprotected.</li><li>
Adoption Reimbursement</li><li>
Disability Benefits (short term and long term)</li><li>
Life and Accidental Death Insurance</li><li>
Supplemental benefit programs: critical illness/accident hospital indemnity/group legal</li><li>
Employee Assistance Programs (EAP)</li><li>
Extensive employee wellness programs</li><li>
Employee discounts up to 50% off on eligible AT&amp;T mobility plans and accessories, AT&amp;T internet (and fiber where available) and AT&amp;T phone.</li></ul>
#LI-Onsite &ndash; Full-time office role-
 AT&amp;T is leading the way to the future &ndash; for customers, businesses, and the industry. We're developing new technologies to make it easier for our customers to stay connected to their world. Together, we&rsquo;ve built a premier integrated communications and entertainment company and an amazing place to work and grow. Team up with industry innovators every time you walk into work, creating the world you always imagined. Ready to #transformdigital with us?
Apply now!
Weekly Hours:
40
Time Type:
Regular
Location:
USA:GA:Atlanta / 1057 Lenox Park Blvd Ne - Adm:1057 Lenox Park Blvd Ne
Salary Range:
$116,700.00 - $175,100.00
It is the policy of AT&amp;T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&amp;T will provide reasonable accommodations for qualified individuals with disabilities. AT&amp;T is a fair chance employer and does not initiate a background check until an offer is made.</div>

Lead Data Analyst

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>

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