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5 jobs found

Today

Senior Data Engineer

Software Resources, Inc. Lake Buena Vista, FL

Lake Buena Vista, FL

Today

Contract Senior Analytics Apache Beam

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Job Description

This contract Senior Data Engineer opportunity is based in Lake Buena Vista, FL, with a hybrid work arrangement. The role centers on designing, building, and implementing data engineering systems and ETL/ELT pipelines, with on-site presence required Monday through Thursday and remote work available on Fridays.

Responsibilities

Collaborate with stakeholders to gather and refine data requirements.
Define source-to-target data mappings to support integration efforts.
Develop and review data validation scripts to ensure data quality.
Design, implement, and monitor ETL and ELT data pipelines.
Produce datasets used as inputs for analytical models and visualizations.
Participate in technical reviews to ensure high quality deliverables.
Develop an understanding of business domains and processes to inform assigned work.
Communicate data engineering progress to project leadership.
Actively contribute to meetings and discussions with the project team.

Requirements

Bachelor's degree in Computer Science, Mathematics, Software Engineering, or a related field, or equivalent experience.
Minimum of 2 years of experience in ELT/ETL development.
5+ years of experience building ELT/ETL pipelines using SQL and Python.
2+ years developing and maintaining data pipelines with a framework such as Apache Flink, Apache Beam, or Kafka Streams.
Experience and understanding of one or more business domains to assist in gathering and refining data requirements and data design solutions.
Experience developing in multiple environments (Dev, QA, Prod) and implementing DevOps procedures for code deployment and promotion.
Strong database design knowledge and proficiency with platforms such as PostgreSQL or Snowflake.
Experience managing and deploying code using GitLab or GitHub.
Ability to articulate solutions and communicate complex technical concepts to non-technical team members.

Technologies

Snowflake
SQL
Python
Apache Flink
Apache Beam
Kafka Streams
Docker
Kubernetes
AWS
Databricks
PostgreSQL
GitLab
GitHub

Benefits

Medical, dental, and vision coverage
401(k) with company match
Short-term disability
Life insurance with AD&D

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6d ago

Salesforce Technical AI Engineer (Senior Consultant, Technical Transformation)

Deloitte Arlington, VA

Arlington, VA

6d ago

$118k - $160k/yr Full time Anthropic Claude Code Artificial Intelligence Automation

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Job Description

Senior Salesforce Technical AI Engineer (Technical Transformation) at Deloitte, based onsite in Arlington, VA. This role leads the design, development, and deployment of Salesforce Public Sector solutions with GenAI integration, CI/CD, and government-client engagement in the Washington, DC region. The position requires a Bachelor’s degree and at least three years of relevant experience.

Responsibilities

Lead the end-to-end design, development, and deployment of advanced solutions using Salesforce Public Sector offerings and emerging capabilities such as Agentforce within mission-critical programs.
Establish and manage robust CI/CD pipelines and DevOps practices to ensure rapid and secure delivery.
Serve as a technical manager and hands-on innovator, embedding GenAI and modern AI practices directly into the development lifecycle to accelerate delivery and enhance system capabilities.
Work across the full technology stack, from backend integrations with large data platforms (Salesforce Data Cloud, Informatica, Databricks, Palantir Foundry) to frontend user experiences.
Collaborate directly with senior government clients, providing technical leadership and translating complex mission requirements into scalable, forward-looking solutions.

Requirements

Bachelor’s degree and a minimum of 3 years of relevant experience.
Ability to work independently as well as within a team environment.
Effective written and verbal communication skills.
Meticulous attention to detail and a commitment to high-quality work products.
Ability to build and sustain professional relationships.
Capability to lead projects or workstreams.
Proficiency in managing and prioritizing multiple tasks in a fast-paced setting.
Strong interpersonal skills and a professional demeanor.
Ability to meet deadlines consistently.
Experience mentoring others and providing clear guidance.

Technologies

Salesforce
Apex
LWC
Salesforce Data Cloud
Informatica
Databricks
Palantir Foundry
Agentforce
Slack
MuleSoft
Azure DevOps
Jenkins
GitLab
Claude Code
GitHub Copilot

Benefits

Compensation range: USD 118,000 - 160,000 per year
Discretionary annual incentive program

The Team

Deloitte's Government & Public Services GPS practice focuses on delivering impact through people, ideas, technology, and outcomes. The team serves federal, state, and local government clients as well as public higher education institutions, bringing a fresh perspective to help clients anticipate disruption, reimagine possibilities, and fulfill their mission promises. The Sales & Service offering designs and implements sales and service experiences, capabilities, and architectures required to translate customer strategies into tangible results.

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7d ago

Senior Analytics Engineer

Centene Pharmacy Services Miami, FL

Miami, FL

7d ago

$87k - $161k/yr Full time Senior Analytics Big Data

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Job Description

The Senior Analytics Engineer role at Centene Pharmacy Services is based onsite in Florida. This position focuses on designing, building, and scaling modern analytics pipelines and assets to support advanced analytics and decision making, leveraging Snowflake, dbt, GitLab, and Power BI, in collaboration with stakeholders.

Responsibilities

Design, implement, and own scalable data pipelines that ingest both external and internal data into Snowflake, including automated ingestion of file-based sources.
Architect and maintain dbt transformation workflows to produce curated, production-grade data models and tables.
Define and enforce standards for data modeling, performance optimization, data quality, and reliable pipelines across the analytics platform.
Develop and maintain Python- and SQL-based processes for data ingestion, validation, transformation, and monitoring.
Oversee the adoption and ongoing use of GitLab for version control, code collaboration, and CI/CD across the analytics team.
Establish and operationalize team standards for source control, code reviews, deployment workflows, and documentation.
Create, optimize, and own Power BI datasets, semantic models, and reporting layers to support scalable analytics and decision making.
Collaborate with clinical, operational, and business stakeholders to translate data needs into technical solutions and communicate insights effectively.
Mentor teammates on data engineering workflows, Snowflake, dbt, GitLab, and Power BI to enable shared ownership and reduce single points of failure.
Continuously improve platform architecture, tooling, and processes to sustain a scalable, maintainable, and modern analytics ecosystem.
Support expansion of Snowflake capabilities, including application layers or integrations, to enable advanced analytics and operational use cases.
Contribute to advanced analytical initiatives, including identifying cost-savings opportunities and deriving insights from complex healthcare datasets.
Requirements gathering: lead meetings with senior stakeholders and IT, may guide cross-functional efforts, own presentation materials, and translate requirements into accessible technical and business terms; may mentor junior engineers.
Data modeling: apply expert data and analytics knowledge to autonomously build tables and views, understand key data sources and limitations, and work with cloud analytics components such as Databricks, Data Mesh, Delta Lake, and Data Lakehouse.
Analytics code development: manage code governance, propose SDLC improvements, develop test plans and validation controls, and implement gold layer objects in support of the Centene supply chain methodology.
Source code and documentation management: define departmental principles for code and documentation, and may oversee multiple code bases with broad domain exposure.
Defect investigation and remediation: deliver products with very low defect rates, address defects of any complexity, and take ownership of critical issues; may define remediation standards.
Perform other duties as assigned.
Comply with all policies and standards.

Requirements

Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science).
4–6 years of relevant experience in data engineering, analytics, or a related field.

Technologies

Snowflake
dbt
GitLab
Power BI
Python
SQL
Databricks
Delta lake

Benefits

Competitive pay
Health insurance
401K and stock purchase plans
Tuition reimbursement
Paid time off plus holidays
Flexible work options including remote, hybrid, field, or office schedules

License and Certification

No specific licenses or certifications are required for this role.

Preferred Certifications

Snowflake Certifications (Core, Specialty [e.g., Snowpark], or Advanced [e.g., Data Engineer, Data Analyst])
GitLab Certifications (e.g., Fundamentals, CI/CD Associate)
Microsoft Certified: Power BI Data Analyst Associate

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2mo ago

Data Engineer

Westaff Helena, MT

Helena, MT

2mo ago Closed

$40 - $40/hr Contract Analytics Business Analytics Business Intelligence

This position is no longer accepting applications (closed Jun 11, 2026).

Job Description

This Data Engineer role, based onsite in Helena, Montana, supports a state office with a focus on data management, architecture, and pipelines. The engagement runs for six months as a contract, with the potential for permanent placement.

Responsibilities

Oversees the collection, governance, and storage of data across the department, enhancing quality, integrity, reliability, and access to data assets.
Architects and implements modern data and application architectures with a focus on cloud platforms and modular, best‑in‑class components.
Develops data pipelines that integrate information from multiple source systems and establishes the infrastructure for efficient extraction, transformation, and loading of data from diverse sources.

Requirements

3-5 years of experience in data analytics, computer science, information technology, or a related field.
A bachelor’s degree in data sciences is desirable.
Experience with PowerShell.
Proficiency in SQL, Oracle, Snowflake, Fivetran, Python, DBT, GitLab/GitHub, Power BI, Tableau, and ThoughtSpot.
Successful applicants may be subject to a background check.

Technologies

PowerShell
SQL
Oracle
Snowflake
Fivetran
Python
DBT
GitLab/GitHub
Power BI
Tableau
ThoughtSpot

Benefits

Opportunity to work with a state office
Free online courses after 80 hours worked
Benefits offered
Weekly pay

What You Will Do

Oversee the collection, governance, and storage of data across the department, improving data quality, integrity, reliability, and accessibility.
Design and implement modern data and application architectures with emphasis on cloud platforms and component-based solutions.
Build data pipelines that integrate data from multiple source systems and establish infrastructure for efficient data extraction, transformation, and loading.

What You Will Bring

3-5 years of experience in data analytics, computer science, information technology, or a related field. A bachelor’s degree in data sciences is desirable.
Experience with PowerShell.
Fluency in SQL, Oracle, Snowflake, Fivetran, Python, DBT, GitLab/GitHub, Power BI, Tableau, and ThoughtSpot.
Successful applicants may be subject to a background check.

What You Will Gain

Opportunity to work with a state office
Free online courses after 80 hours worked
Benefits offered
Weekly pay

Job Requirements

3-5 years of experience in data analytics, computer science, information technology, or a related field.
Fluency in the following technologies: SQL, Oracle, Snowflake, Fivetran, Python, DBT, GitLab/GitHub, Power BI, Tableau, ThoughtSpot.

Compensation and Details

Salary: USD 40 per hour
Location: Helena, MT onsite
Job Type: Contract
Experience: 3-5 years minimum
Education: Bachelor’s degree desirable

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2mo ago

AI Machine Learning Engineer Staff- Level 4

Lockheed Martin Corporation Fort Worth, TX

Fort Worth, TX

2mo ago Closed

Full time Artificial Intelligence Autogen AWS

This position is no longer accepting applications (closed Jun 6, 2026).

Job Description

Lockheed Martin offers flexible work schedules, competitive pay, and comprehensive benefits. This hybrid Fort Worth, TX role fosters collaboration across Supplier Quality, Data Analysts, Data Scientists, and Quality Engineers to design practical AI solutions that address real-world needs. As a Senior AI/ML Engineer, Staff- Level 4, you will design, develop, and deploy end-to-end AI and ML systems, lead cross-functional initiatives, and ensure AI work aligns with stakeholder goals.

Benefits

Flexible work schedules
Competitive pay
Comprehensive benefits

Responsibilities

Create and implement complete AI and ML systems from concept to deployment
Partner with Supplier Quality teams to support new feature development, offering technical guidance on integrating AI systems
Engage with stakeholders to capture and prioritize needs for AI system enhancements and new features
Contribute to design reviews, code reviews, and testing to ensure robust AI tools and toolsets
Stay current with emerging AI technologies and apply insights to improve SQM toolsets and systems
Collaborate with data analysts, data scientists, and quality engineers to tackle complex problems and identify high-value AI use cases
Work with internal teams to ensure AI systems comply with Lockheed Martin Proprietary Information sensitivity requirements
Lead small cross-functional project teams to drive AI projects
Contribute to technical roadmaps and best practices for enterprise AI adoption
Document and share best practices with the AI/ML community

Requirements

Bachelor's degree in Engineering, Computer Science, Systems Engineering, or a related field
Strong Python skills and experience with modern ML frameworks such as PyTorch, TensorFlow, and scikit-learn
Experience deploying large language models, prompt engineering, RAG architectures, or AI agent frameworks (LangChain, AutoGen, CrewAI)
Solid understanding of AI/ML concepts including deep learning frameworks and tools
Experience with pipeline automation tools like GitLab
Familiarity with cloud services, particularly AWS
Excellent presentation and communication skills for explaining complex AI/ML concepts to technical and non-technical audiences
Experience delivering end-to-end AI systems with limited supervision
Self-motivated, self-directed, and capable of thriving in a fast-paced environment

Technologies

Python
PyTorch
TensorFlow
scikit-learn
LangChain
AutoGen
CrewAI
AWS
GitLab

Additional Information

Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. If matched, you may be contacted for this and future openings.
Part-time Remote Telework: The employee selected for this position will work part of their schedule remotely and part at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.
Work Schedules: Lockheed Martin supports a variety of alternate work schedules, ranging from standard 40 hours over five days to condensed schedules that provide additional time away from the office, in addition to Paid Time Off benefits.
Schedule for this Position: 4x10 hour days, 3 days off per week
Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date to receive optimal consideration.

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Gitlab Data Jobs

Senior Data Engineer

Salesforce Technical AI Engineer (Senior Consultant, Technical Transformation)

Senior Analytics Engineer

Data Engineer

AI Machine Learning Engineer Staff- Level 4

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