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data engineer - ai/ml

data platform engineer

Worth AI

<div><p>Worth AI, a leader in the computer software industry, is looking for a talented and experienced<b> Data Platform Engineer</b> to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.</p><p>
As a Data Platform Engineer, you will design, build, and operate the core data services that power our products and analytics. You&rsquo;ll own end-to-end data pipelines and API services that ingest, process, and expose high-quality data to internal customers (data science, analytics, product, and other engineering teams) and external partners.</p><p>
You&rsquo;ll be part of a small, high-impact team that treats the data platform as a product with strong SLAs, and reliable self-service for internal and external users.</p><p></p>
Responsibilities<p></p><p>
What you&rsquo;ll do:</p><p></p><ul><li>
Architect and implement entity resolution logic to de-duplicate and link disparate data points into unified &quot;Golden Records&quot; for businesses and individuals</li><li>
Design and maintain a high-performance global business knowledge graph and ontology to map complex ownership chains, UBOs, and hidden risk relationships across international borders</li><li>
Implement a hybrid storage strategy that bridges graph databases for relationship mapping with document and search stores for rich metadata and adverse media content</li><li>
Optimize the platform for real-time risk assessment, ensuring the ability to traverse multiple levels of ownership in milliseconds to support automated &quot;Go/No-Go&quot; onboarding decisions
</li><li>Design and build scalable data services and APIs for ingesting, transforming, and serving data across the company</li><li>
Develop and maintain batch and streaming data pipelines using modern data processing frameworks and AWS cloud-native tooling</li><li>
Own the reliability, performance, and API first data platform, including monitoring, alerting, and on-call where appropriate</li><li>
Implement best practices for data modeling, quality, lineage, and governance to ensure trustworthy, well-documented datasets</li><li>
Work closely with data scientists, analysts, and application engineers to understand their needs and translate them into robust platform capabilities</li><li>
Drive automation and standardization through CI/CD, model as a service, and reproducible environments
</li><li>Help define and evolve the architecture of our data platform as a true internal service with clear contracts, SLAs, and versioned APIs</li></ul><br>
<b>
Requirements</b><br>
<ul><li><ul><li>
Expertise in Graph Ecosystems: Hands-on experience with Graph databases (e.g., Neo4j, AWS Neptune, or TigerGraph) and query languages like Cypher or Gremlin</li><li>
Identity &amp; Linkage Mastery: Proven experience with Entity Resolution or Record Linkage (e.g., using tools like Senzing, Quantexa, or custom probabilistic matching models)</li><li>
Schema Design: Ability to design flexible ontologies that handle evolving regulatory data (e.g., changing PEP definitions or Sanction list formats)</li><li>
API Performance for Graphs: Experience building GraphQL or REST APIs specifically optimized for graph traversals and deep-tree lookups</li><li>
Experience building centralized data platforms or &ldquo;data-as-a-service&rdquo; offerings at scale (e.g., at a large tech or cloud-native company)</li><li>
Strong software engineering skills in at least one language commonly used for data and services (e.g., Python, Java, Go, Rust)</li><li>
Hands-on experience building data pipelines and ETL/ELT workflows on a major cloud provider (AWS preferred)</li><li>
Experience with modern data stack tools such as Spark/Flink, Kafka/Kinesis, Airflow/managed schedulers, and data warehouses (e.g., Snowflake, Redshift, BigQuery, Databricks)</li><li>
Familiarity with DevOps practices: CI/CD, containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform)</li><li>
Strong focus on observability (metrics, logs, traces), resilience, and building early warning signals</li><li>
Comfort collaborating cross-functionally and communicating clearly with both technical and non-technical stakeholders<b>.</b></li></ul></li></ul><p><b>
Nice to Have</b></p><ul><li><ul><li>
Background supporting machine learning or real-time decisioning use cases from a platform point of view</li></ul></li><li><ul><li>
Compliance Domain Knowledge: Understanding of AML, CTF, and KYC/KYB data structures (e.g., LEIs, ISO 20022)</li></ul></li><li><ul><li>
Geospatial Data: Experience handling global address normalization and geospatial indexing for risk detection</li></ul></li></ul><p><b>
** All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town Halls and team collaboration in addition to orientation in Orlando, Florida</b></p><b><br>
Benefits</b><br>
<ul><li><ul><li>
Health Care Plan (Medical, Dental &amp; Vision)</li><li>
Retirement Plan (401k, IRA)</li><li>
Life Insurance</li><li>
Flexible Paid Time Off</li><li>
9 paid Holidays</li><li>
Family Leave</li><li>
Work From Home</li><li>
Free Food &amp; Snacks (Orlando)</li><li>
Wellness Resources</li></ul></li></ul></div>

Data Platform Engineer

The Baldwin Group

<div><ul><li>Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. We are unable to sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa).
</li></ul><p></p><p><b>About the Role
</b></p><p>We are seeking a highly skilled <b>Senior Data Engineer </b>to join our Data Engineering &amp; Platform organization. This role is ideal for someone passionate about building scalable data solutions, enabling cross-functional data delivery, and raising engineering excellence across the organization. You will work on an advanced <b>Databricks-on-AWS </b>data platform and play a key role in transforming our data ecosystem&mdash;designing and building resilient pipelines, implementing CI/CD, and contributing to platform modernization efforts.
</p><p>As a senior member of the team, you will partner with data engineers, analytics teams, product teams, and platform engineering to build high-quality, production-grade data solutions that power enterprise analytics, data science, and operational workloads.
</p><p></p><p><b>Key Responsibilities:
</b></p><p><b>Data Engineering &amp; Pipeline Development
</b></p><ul><li>Design, build, maintain, and optimize scalable data pipelines and ELT/ETL processes to ingest, process, and store large volumes of data from various sources.
</li><li>Architect robust batch and streaming solutions using PySpark, Spark SQL, and Databricks Jobs.
</li><li>Monitor and troubleshoot data pipelines and infrastructure to ensure high availability and performance.
</li><li>Ensure reliability, observability, and SLAs through monitoring, alerting, and automated recovery patterns.
</li><li>Implement and maintain data integration solutions, including APIs and data connectors, to facilitate data exchange between systems.
</li></ul><p><b>Cloud Platform Engineering
</b></p><ul><li>Build and manage data solutions on AWS, leveraging services such as S3, Lambda, Glue, IAM, EC2, EKS, Step Functions, and EventBridge.
</li><li>Apply cloud engineering best practices for cost optimization, reliability, and security.
</li></ul><p><b>CI/CD, DevOps, and Infrastructure-as-Code
</b></p><ul><li>Implement and maintain CI/CD pipelines using:
<ul><li>Databricks Asset Bundles
</li><li>Terraform (IaC)
</li><li>GitHub Actions / Azure DevOps / Jenkins (depending on internal stack)
</li></ul></li><li>Own deployment automation and environment management for data workloads and platform components.
</li><li>Contribute to reusable Terraform modules and engineering standards.
</li></ul><p><b>Data Governance and Data Quality
</b></p><ul><li>Maintain data quality through validation frameworks (e.g., DQX, Great Expectations, Databricks expectations, custom frameworks).
</li><li>Ensure data quality, integrity, and security by implementing best practices for data governance and management.
</li><li>Implement governance and lineage through Unity Catalog, cataloging standards, and metadata best practices.
</li></ul><p><b>Platform Modernization
</b></p><ul><li>Contribute to initiatives such as:
<ul><li>Migration of pipelines from legacy integration tools to Lakeflow / Lakehouse-native ingestion
</li><li>Improving infrastructure automation
</li><li>Enhancing data observability, testing, and deployment workflows
</li></ul></li></ul><p><b>Collaboration &amp; Technical Leadership
</b></p><ul><li>Serve as a technical mentor to junior engineers.
</li><li>Partner closely with data analysts, data scientists, and business stakeholders to deliver enterprise data assets.
</li><li>Contribute to architecture decisions, design reviews, and platform roadmap conversations.
</li></ul><p><b>Required Qualifications
</b></p><ul><li>7+ years of data engineering experience building production-grade data pipelines.
</li><li>Deep expertise in <b>Databricks </b>, <b>Spark </b>, and <b>Delta Lake </b>.
</li><li>Hands-on experience with <b>AWS </b>cloud services.
</li><li>Strong proficiency in <b>Python </b>, <b>SQL </b>, and distributed computing patterns.
</li><li>Experience with <b>Terraform </b>and cloud-native CI/CD.
</li><li>Strong understanding of data modeling, orchestration, and data quality frameworks.
</li><li>Ability to operate autonomously while collaborating in a team environment.
</li></ul><p></p><p><b>Additional Qualifications
</b></p><ul><li>Experience with Lakeflow, Databricks Workflows, or ingestion modernization initiatives.
</li><li>Knowledge of software engineering best practices:
<ul><li>test automation
</li><li>versioning
</li><li>code reviews
</li><li>Git workflows
</li></ul></li><li>Familiarity with event-driven architecture and streaming technologies.
</li><li>Experience supporting Data Science and ML platform teams.
</li><li>P&amp;C Insurance domain knowledge preferred
</li></ul><p></p><p>#LI-RL1
</p><p>IND1</p><p></p><p><br>
</p><p></p><p>The Baldwin Group will not accept unsolicited resumes from any source other than directly from a candidate who applies on our career site. Any unsolicited resumes sent to The Baldwin Group, including unsolicited resumes sent via any source from an Agency, will not be considered and are not subject to any fees for any placement resulting from the receipt of an unsolicited resume.</p></div>

Sr. Data Engineer

TECO Peoples Gas

<div>
 Title:
 <strong>
  Data Engineer (Tampa)
  <br/>
  <br/>
 </strong>
 Company:
 <strong>
  Peoples Gas System
  <br/>
  <br/>
 </strong>
 State and City:
 <strong>
  Florida
 </strong>
 -
 <strong>
  Tampa
  <br/>
  <br/>
 </strong>
 Shift:
 <strong>
  8 Hr. X 5 Days
  <br/>
  <br/>
 </strong>
 <strong>
  WHO WE ARE?
  <br/>
  <br/>
 </strong>
 Peoples Gas System is the fastest growing natural gas utility in the Southeast with career opportunities that fit your future. Our organization is diverse &ndash; in people, opportunities, and careers. We foster a dynamic and inclusive workplace where safety, innovation and collaboration are at the heart of everything we do.
 <br/>
 <br/>
 <strong>
  HOW YOU&rsquo;LL HELP DRIVE THE FUTURE OF NATURAL GAS?
  <br/>
  <br/>
 </strong>
 The Data Engineer &ndash; PGS is responsible for the creation, maintenance, and support the complex computer database systems and data models. Plan, coordinate, and implement schedule updates to the production Business Development data models. Develop and support data sources, data models, connections, ingestion and utilization. Work with development teams, affiliates, business owners and other stakeholders to design, develop and deliver database solutions to the business to enable data migration, governance and management of the organization&rsquo;s data, analytics, predictive modeling and decision-making capabilities. With minimal oversight, independently performs technically complex assignments within established policies and procedures and in compliance with established company standards.
 <br/>
 <br/>
 <strong>
  WHAT YOU NEED TO SUCCEED?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Information Technology, Computer Science, Business Administration, Engineering, Mathematics, Information Systems or other related field from regionally accredited college/university.
  </li>
  <li>
   5 years of work experience related to the Duties &amp; Responsibilities of this position, or 2 years as a DBA or Data Engineer.
  </li>
  <li>
   Demonstrated database programming language such as Python, R or SQL.
  </li>
  <li>
   Demonstrated database management systems such as Oracle, Microsoft SQL Server, SAP HANA and others.
  </li>
  <li>
   Cloud data platforms such as Microsoft Azure, Snowflake, Google Cloud Platform, AWS.
  </li>
  <li>
   Ability to effectively organize own work and teamwork, maintain an extremely high level of accuracy, check own work and the work of others, and keep accurate and auditable records.
  </li>
  <li>
   Demonstrated interpersonal skills, including collaboration and teamwork.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Primary Duties &amp; Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Data and AI Design and Development
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Perform all database-related activities during application system evaluations, development projects, and subsequent implementations. Identify opportunities to reduce data-redundancy and utilize single sources of data with integration of systems through database design and access methods. Coordinate and prioritize work assignments based on business and technical requirements.
  </li>
  <li>
   Plan and perform database monitoring and tuning activities to ensure optimal performance and response time. Provide consulting and support to systems development team members (and others performing similar functions outside of IT) in efficient SQL and NoSQL coding techniques for optimum database and application performance.
  </li>
  <li>
   Create, conceptualize, design and maintain data processes, data reliability, data efficiency, data quality, data storage, data models, data performance, data ingestion, all in support of PGS data and AI strategies for data analytics and data visualization.
  </li>
  <li>
   Plan, coordinate, and implement data models and updates into production on a regularly scheduled basis follow PGS and IT standard SDLC and change management processes and procedures.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Project and Database Support
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Support systems development team members in understanding application data requirements and developing logical database models. Convert logical database designs to physical database models and develop the Data Definition Language (DDL) to create appropriate database objects. Review, test, and make appropriate revisions to vendor-supplied DDL to ensure database integrity.
  </li>
  <li>
   Design and implement appropriate database backup and recovery strategies based on requirements provided by systems development team members and IT Business Partners. Perform database recovery and restoration as needed.
  </li>
  <li>
   Participate in technical projects that ensure the ongoing integrity of all corporate-wide databases and database architecture. Perform upgrades to DBMS and data integration products, which include impact analysis, testing, data conversion and implementation.
  </li>
  <li>
   Create and maintain documentation that supports a historical record of changes made to any data model and display for audit purposes.
  </li>
  <li>
   Thought Leadership
  </li>
  <li>
   Maintain knowledge of existing and emerging database technologies and recommends adoption of new technologies where appropriate. Evaluate and recommend database-related products, services, and procedures to enhance productivity and effectiveness. Must maintain sufficient knowledge of the business processes and systems.
  </li>
  <li>
   Evaluate the data modeling team tasks status and resource utilization and recommend changes to improve the team&rsquo;s effectiveness.
  </li>
  <li>
   Develop training and procedure documentation and materials for the data modeling team and facilitate both formal and informal training.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  WHAT WILL GIVE YOU A COMPETITIVE EDGE?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2 years of experience with cloud technologies and platforms such as Microsoft Azure, Amazon Web Services (AWS) or Google Cloud Platform (GCP).
  </li>
  <li>
   Demonstrated knowledge of utility industry operations and business processes.
  </li>
  <li>
   Experience working on data modeling teams requiring expert technical skills and solid understanding of business functions.
  </li>
  <li>
   Demonstrated competence with cloud storage, cloud tools and Big Data.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  WHO WILL BE A PART OF YOUR TEAM?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Staff augmentation, contractor and/or technical support team.
  </li>
  <li>
   IT Architects, IT Strategic Planning, Development Staff and Support of various business application towers, Project Management Office, other IT and Business Stakeholders etc.
  </li>
  <li>
   Consultants (System Integrators, Offshore Teams), Contractors, Customers, Vendors.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  HOW YOU&rsquo;LL CONTRIBUTE?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Cultivates Innovation and Embraces Change.
  </li>
  <li>
   Drives Operational Excellence for Customers.
  </li>
  <li>
   Speaks Up on Safety, Health, and the Environment.
  </li>
  <li>
   Takes Ownership &amp; Acts with Integrity.
  </li>
  <li>
   Thinks Strategically &amp; Exercises Sound Judgment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  WHY YOU&rsquo;LL LOVE WORKING WITH US?
  <br/>
  <br/>
 </strong>
 We proudly offer a competitive total rewards package and other perks to help keep you thriving:
 <br/>
 <br/>
 <ul>
  <li>
   Performance Bonus: Earn an annual incentive bonus that recognizes your hard work.
  </li>
  <li>
   Comprehensive Health Coverage: Enjoy medical, prescription drug, dental, and vision insurance.
  </li>
  <li>
   Retirement Planning: Secure your future with a 401k Retirement Savings Plan and a comprehensive Pension plan.
  </li>
  <li>
   Ownership Opportunities: Participate in Emera&rsquo;s Employee Common Share Purchase Plan and share in our success.
  </li>
  <li>
   Time to Recharge: Enjoy Paid Time Off (PTO), paid company holidays, comprehensive mental, financial and physical wellness resources, and paid Parental Leave
  </li>
  <li>
   Growth and Development: Take advantage of tuition reimbursement and other training and development opportunities to enhance your skills and career.
  </li>
  <li>
   And much more!
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  <strong>
   Whether you&rsquo;re launching your career or looking to advance it, Peoples Gas is the perfect place for you, offering exciting opportunities for a long-term career with a dynamic, growing company.
   <br/>
   <br/>
  </strong>
 </em>
 <strong>
  Emergency Response Requirements
  <br/>
  <br/>
 </strong>
 TECO Energy and its companies serve a role in providing critical services to our community during an emergency. Team members are required to participate in the response/recovery activities related to emergencies/disasters to maintain service to our TECO Energy customers. Team members are required to work in their normal job duties or other assigned activities. Proper compensation will be made in accordance with the company's rules and procedures.
 <br/>
 <br/>
 <em>
  A pre-employment drug screening, as well as a background check (including education, employment, criminal and motor vehicle) will also be conducted as part of the pre-employment screening. A physical may be conducted if required for the role.
  <br/>
  <br/>
 </em>
 #DBA #IT #DatabaseAdmin #Engineer #DataEngineer #DataEngineering #Cloud #AI #ArtificialIntelligance #BigData #DataPipelines #ETL #ELT #DataArchitecture #DataInfrastructure
 <br/>
 <br/>
 #Python #SQL #ApacheSpark #Kafka #Airflow #Databricks #Snowflake #Redshift #Hadoop
 <br/>
 <br/>
 #AWS #Azure #GCP #CloudComputing #CloudData #DataPlatforms #ModernDataStack
 <br/>
 <br/>
 #DataScience #HiringDataEngineers #DataEngineerJobs #TechJobs #HiringTech #CareersInTech #OpenToWork
</div>


Data Engineer (Tampa)

Fintech

<div>
 <strong>
  This position is Hybrid in Tampa, FL
 </strong>
 .
 <br/>
 <br/>
 We are seeking a Data Engineer with strong AI/ML expertise to modernize and scale our Business Intelligence (BI) capabilities. This role will design and build data pipelines, deploy machine learning solutions, and operationalize intelligent analytics to drive decision-making across the organization. The ideal candidate blends data engineering best practices with applied machine learning, MLOps, and AI.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 Project Responsibility: End-to-end data pipelines and integrations
 <br/>
 <br/>
 <strong>
  Technical Competencies
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Advanced SQL optimization and complex query design
  </li>
  <li>
   Kafka streaming applications and connector development
  </li>
  <li>
   Databricks workflow development with medallion architecture
  </li>
  <li>
   Data governance implementation and compliance
  </li>
  <li>
   Performance tuning for large-scale data processing
  </li>
  <li>
   Data security and privacy best practices
  </li>
  <li>
   Apache NiFi pipeline development for invoice and PO processing
  </li>
  <li>
   Integration with purpose-built data stores (Druid, MongoDB, OpenSearch, Postgres)
  </li>
  <li>
   Build and maintain end-to-end ML pipelines for training, deployment, and monitoring of models.
  </li>
  <li>
   Design and optimize data architectures for large-scale ML workloads
  </li>
  <li>
   Explore and implement LLM-based solutions, RAG architectures, and generative AI for business use cases.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Soft Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Cross-functional collaboration with product and engineering teams
  </li>
  <li>
   Technical mentoring for junior data engineers
  </li>
  <li>
   Analytical thinking for complex data problems
  </li>
  <li>
   Stakeholder communication for data requirements
  </li>
  <li>
   Process improvement and efficiency focus
  </li>
  <li>
   Quality mindset for data accuracy and reliability Vendor Management:
  </li>
  <li>
   Direct communication with data platform vendors
  </li>
  <li>
   Evaluates vendor tools for specific data use cases
  </li>
  <li>
   Provides technical feedback on vendor product roadmaps
  </li>
  <li>
   Coordinates with vendors for data integration projects
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <em>
  Bachelor&rsquo;s/Master&rsquo;s in Computer Science, Data Engineering, Statistics, or related field.
  <br/>
  <br/>
 </em>
 <em>
  5+ years in data engineering; 2+ years applying ML in production.
  <br/>
  <br/>
 </em>
 <strong>
  Our Benefits:
 </strong>
 <strong>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Hybrid Work
  </li>
  <li>
   Employer Matched 401K
  </li>
  <li>
   Company Paid Medical Insurance Option for Employee and Dependent Children
  </li>
  <li>
   Company Paid Dental Insurance for Employee
  </li>
  <li>
   Company Paid Vision Insurance for Employee
  </li>
  <li>
   Company Paid Long and Short-Term Disability
  </li>
  <li>
   Company Paid Life and AD&amp;D Insurance
  </li>
  <li>
   18 Paid Vacation Days a Year
  </li>
  <li>
   Six Paid Holidays
  </li>
  <li>
   Employee Recognition Programs
  </li>
  <li>
   Holiday Bonus
  </li>
  <li>
   Incentive Compensation
  </li>
  <li>
   Community Outreach Opportunities
  </li>
  <li>
   Business Casual Dress Code
   <br/>
   <br/>
  </li>
 </ul>
 <br/>
 <br/>
 <strong>
  About Fintech:
 </strong>
 <strong>
  <br/>
  <br/>
 </strong>
 Fintech, a pioneering accounts payable (AP) automation solutions provider, has dedicated nearly 35 years to automating invoice processing between retail and hospitality businesses, and their supply chain partners. Backed by leading investors TA Associates and General Atlantic, it stands as a leader in this sector. Its flagship product, PaymentSource&reg;, was first built for the alcohol industry to provide invoice payment automation between alcohol distributors and their customers across all 50 states. Today, it is utilized by over 267,000 businesses nationwide for invoice payment and collection associated with all B2B business transactions. This proven platform automates invoice payment, streamlines payment collection, and facilitates comprehensive data capture for over 1.1 million business relationships. Recognizing operational hurdles, Fintech expanded its payment capabilities to include scan-based trading/consignment selling for its vendors and retailers and built an advanced CRM tool with functionality to fortify vendor, supplier, and distributor field execution, addressing diverse profit center challenges. For more information about Fintech and its range of solutions, please visit
 <strong>
  www.fintech.com
 </strong>
 .
 <br/>
 <br/>
 <em>
  Fintech is a Drug-Free Workplace. Fintech is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Fintech&rsquo;s management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, access to facilities and programs and general treatment during employment.
 </em>
 <em>
  We E-Verify.
 </em>
</div>


Data Engineer - AI/ML

Accenture Federal Services

<div></div><div><div><div><div>At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.</div>
<div></div>
<div>Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.</div>
<div></div>
<div>Join us to drive positive, lasting change that moves missions and the government forward!</div></div></div><br>
<p></p>
<p>
As a Senior Data Visualization Engineer you will lead the design, automation, and delivery of advanced visual analytics supporting system Test &amp; Evaluation (T&amp;E), performance assessment, and architectural decision-making for programs. This role translates complex technical data into actionable visual insights that drive mission readiness and continuous system optimization.</p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Design and develop interactive dashboards and reports to visualize system design activities, requirements validation, and performance assessments.</li>
<li>Create clear, compelling visual representations of system constraints, software characteristics, and performance capabilities across diverse environments.</li>
<li>Transform complex T&amp;E datasets into actionable insights for engineering, architecture, and mission decision-makers.</li>
<li>Automate visualization and reporting workflows across multiple data sources to improve consistency and efficiency.</li>
<li>Collaborate with system T&amp;E engineers to translate technical information into intuitive visual narratives for architectural and operational analysis.</li>
<li>Identify effective visualization techniques to highlight KPIs, anomalies, trends, and system behavior patterns.</li>
<li>Develop and maintain documentation for visualization workflows, data sources, tool usage, and user guidance.</li>
<li>Innovate visualization methods that enhance system insight, mission readiness, and test transparency across the enterprise.</li>
<li>Ensure adherence to visualization standards, best practices, and documentation guidelines.</li>
<li>Support visualization needs for direct support testing of non‑deadly weapons system components essential to R&amp;D, production, and maintenance.</li>
<li>Use enterprise tools such as Power Platform, Power BI, task order portals, ServiceNow, Jira, MS Project, Primavera, eMASS, Archer GRC, CMDB repositories, and predictive analytics engines.</li>
<li>Use role-specific platforms including Tableau, Power BI, Qlik, Python/R visualization libraries, CI/CD visualization automation, big data analytics tools (Spark, Hadoop, Databricks), cloud visualization services, and monitoring platforms (Grafana, SolarWinds, QRadar).</li>
</ul>
<p><b>Required Qualifications</b></p>
<ul>
<li>Previous experience as a Data Visualization Engineer or similar role supporting DoD, preferably at the CCMD level.</li>
<li>Experience requirements based on education:</li>
<li>8 years with BS/BA or 6 years with MS/MA or 5 years with PhD or 10 years with AS/AA or 12 years without a degree</li>
<li>DoD-approved IA baseline certification for ADP‑III/IT‑III and CE/OS certification within six months of assignment.</li>
<li>DoD 8140 alignment for WRC 421, Database Administrator (Intermediate).</li>
</ul>
<p><b>Clearance</b></p>
<ul>
<li>An active TS/SCI is required</li>
</ul><div><div>
<div></div><div><div><b><i>What We Believe</i></b><b><i>
</i></b></div><div><i>As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on.</i></div>
</div>
<div></div><div><b><i>Equal Employment Opportunity Statement</i></b></div>
<div><i>We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the</i><i> Accenture Federal Services Equal Opportunity Policy Statement.</i></div>
<div></div>
<div><i>Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.</i></div>
<div></div>
<div><b><i>Requesting An Accommodation</i></b></div>
<div><i>Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.</i></div>
<div></div>
<div><i>If you</i><b><i> </i></b><i>are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.</i></div>
<div></div>
<div><b><i>Other Employment Statements</i></b></div>
<div><i>Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.</i></div>
<div></div>
<div><i>Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.</i></div>
<div></div>
<div><i>Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.</i></div>
<div></div>
<div><i>The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.</i></div>
<div></div>
<div><i>California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please </i><i>click here</i><i> for additional important information.</i></div></div></div></div><p></p>

Senior Data Visualization Engineer

Platinum Technologies

<div><div><b>Who we are!</b></div>
<div>Platinum Technologies is a Northern Virginia based integrated solutions firm that specializes in Cybersecurity, Cloud and Digital Services to the Public Sector. Our team solves hard problems and helps our Mission Partners achieve their goals. If you are self-motivated, possess demonstrated learning agility, and are passionate about delivering high-quality work products &ndash; we want to hear from you.</div>
<div></div>
<div>We lead with technical expertise, but that is just the tip of the iceberg &ndash; the &lsquo;Why&rsquo; matters. At Platinum, we don&rsquo;t hire people to do a job. We provide professional and leadership development to complement our self-motivated domain experts. Our teammates are dot-connecting leaders that operate in a mutually accountable environment to deliver thought leadership, expert technical analysis, and quality execution for our clients.</div><br>
<div></div>
<div></div>
<div><b>You.</b></div>
<div>Platinum Technologies is seeking a Data Engineer to join our company.</div>
<div>We&rsquo;re seeking a highly technical Data Engineer to drive the massive data discovery and classification effort. Before data can be protected, it must be found and understood. You will be responsible for illuminating &quot;dark data&quot; across the Command&rsquo;s complex information environment, ranging from hyperscale cloud data lakes on NIPR to legacy file shares and isolated storage arrays on the SIPR and Top-Secret networks.</div>
<div></div>
<div>As a Data Engineer, you will architect and manage the deployment of advanced discovery platforms, specifically BigID and NetApp BlueXP. You will configure these tools to crawl petabytes of structured (SQL/Oracle), semi-structured (logs/NoSQL), and unstructured (SharePoint/File Shares) data. Your primary mission is to build the &quot;Global Data Inventory&rdquo;, a dynamic, real-time map of where sensitive CUI and classified intelligence resides, enabling the security teams to apply precision protection. You will use your knowledge of data pipelines and storage infrastructure to ensure that scanning operations provide 100% visibility without degrading network performance.</div>
<div></div>
<div><b>This role requires an active Top Secret/SCI. The position will be in Tampa, Florida.</b></div>
<div></div>
<div><b>What you get to do.</b></div>
<ul><li>Deploy and manage BigID and NetApp BlueXP scanners across hybrid environments, including configuring dockerized collectors for air-gapped discovery on the Top-Secret network.</li></ul>
<ul><li>Connect discovery tools to enterprise databases (SQL Server, Oracle, PostgreSQL) to scan schemas and columns for PII, DoD ID numbers, and other sensitive indicators without impacting database performance.</li></ul>
<ul><li>Configure scans for massive file repositories (NetApp NAS, QNAP, SharePoint On-Premises), optimizing scan windows and throttling to prevent latency for mission users.</li></ul>
<ul><li>Utilize Microsoft Purview Data Map and custom connectors to inventory data residing in AWS S3 buckets, Azure Blobs, and Data Lakes.</li></ul>
<ul><li>Collaborate with mission owners to train Machine Learning (ML) classifiers to recognize unique data types (e.g., mission names, operational codes) and reduce false positive rates in the data inventory.</li></ul>
<div></div>
<div><b>Requirements.</b></div>
<ul><li>Active Top-Secret/SCI clearance</li></ul>
<ul><li>CompTIA Security+ CE (or higher) to meet DoD 8570 IAT Level II requirements.</li></ul>
<ul><li>Proven experience deploying and managing enterprise data discovery and governance platforms such as BigID, Varonis, NetApp BlueXP (Data Sense), or Informatica.</li></ul>
<ul><li>Strong understanding of storage protocols (NFS, SMB/CIFS, S3) and database structures (SQL, NoSQL) to troubleshoot connectivity and scanning access.</li></ul>
<ul><li>Proficiency with Kubernetes and Docker, as many modern discovery collectors are deployed as containerized microservices.</li></ul>
<ul><li>Experience dealing with large-scale data inventories (Petabyte scale) and understanding of data lineage and provenance concepts.</li></ul>
<ul><li>Journeyman Experience:</li></ul>
<div>A Journeyman labor category has 3 to 10 years of experience and a BA/BS or MA/MS degree. A Journeyman labor category typically performs all functional duties independently.</div>
<ul><li>Senior Experience:</li></ul>
<div>A Senior labor category has over 10 years of experience and a MA/MS degree. A Senior labor category typically works on high-visibility or mission critical aspects of a given program and performs all functional duties independently. A Senior labor category may oversee the efforts of less senior staff and/or be responsible for the efforts of all staff assigned to a specific job.</div>
<div></div>
<div>The Company is an Equal Opportunity/Affirmative Action employer. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age, or genetic information.</div><br>
<div></div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Data Engineer

Qode

<div>We are seeking a highly skilled <b>Python Data Engineer / Data Scientist with Node.js experience</b> to join our team in Tampa, FL. The ideal candidate will have strong expertise in building scalable data pipelines, developing backend services using Node.js, and delivering data-driven solutions using modern data and cloud technologies.<p>
✅ <b>Required Skills</b></p><ul><li>
3+ years of experience in <b>Data Engineering / Data Science</b></li><li>
Strong programming experience in <b>Python</b></li><li>
Hands-on experience with <b>Node.js</b> for backend/API development</li><li>
Strong experience with <b>SQL</b> and relational databases (PostgreSQL, MySQL, etc.)</li><li>
Experience with data engineering tools (<b>Airflow, Spark, Kafka</b>)</li><li>
Knowledge of cloud platforms (<b>AWS, Azure, or GCP</b>)</li><li>
Experience with data warehousing (<b>Snowflake, Redshift, BigQuery</b>)</li><li>
Experience building and consuming <b>REST APIs / Microservices</b></li><li>
Familiarity with <b>ETL/ELT pipelines</b></li><li>
Strong understanding of <b>data structures and algorithms</b></li><li><b>Preferred Skills</b></li></ul><ul><li>
Experience in <b>Machine Learning / Data Science</b> (scikit-learn, TensorFlow, PyTorch)</li><li>
Experience integrating <b>Node.js services with data pipelines</b></li><li>
Knowledge of <b>data visualization tools</b> (Tableau, Power BI)</li><li>
Experience with big data technologies (<b>Hadoop, Hive</b>)</li><li>
Understanding of <b>CI/CD pipelines and DevOps</b></li><li>
Experience in <b>Agile environments</b></li></ul></div>

Python Data Engineer/Data Scientist

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