data infrastructure engineer

Jefferson Lab

<b>Title:</b> Data Infrastructure Engineer
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Data Infrastructure Engineer
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<b>Category:</b> Computer Science Technology and IT
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<b>Work Arrangement Type:</b> Hybrid - About 60% on-site
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<b>Classification:</b> Staff Computer Scientist II
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<b>Description:</b><br>
At Jefferson Lab, you’ll champion cutting-edge science and operational excellence while shaping the future of discovery. Join us and make your mark – where excellence meets purpose, and great minds truly matter.
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Jefferson Lab is hiring 3 Data Infrastructure Engineers.
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<b>Salary Range:</b> $89,800 - $159,300 (SCS-II)
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<b>What your job will be like:</b><br>
You deploy, configure, test, and benchmark the core data infrastructure components being built for DOE's next-generation scientific data facility - HPDF (High-Performance Data Facility). Working closely with the senior architect, you evaluate infrastructure frameworks and solutions, turning performance results and comparative analysis into concrete design decisions that will shape the HPDF facility implementation. As the facility moves from design into operations, you grow into a foundational member of the HPDF data infrastructure operations team, bringing with you the hands-on knowledge of the systems you helped build.
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<b>In this job you will:</b><br>
<b>Deployment:</b> Deploy, configure, and evaluate various data infrastructure elements and frameworks across development, staging, and production environments, working closely with the Senior Data Architect.
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Execute defined test plans, collect performance metrics, and perform comparative benchmarking of infrastructure components to inform design decisions (e.g., latency, reliability, throughput, scale).
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<b>Automation and Documentation:</b> Support the development of automation scripts for infrastructure setup and maintenance. Maintain clear and current documentation for deployment procedures, testing results, and system configurations.
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<b>Collaboration and communication:</b> Work with peer engineers and architects to generate design documentation, participate in design reviews, and contribute to team and project milestones by delivering evaluation reports in a timely manner.
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<b>Continuous Learning:</b> Maintain and expand knowledge of emerging data technologies by proactively identifying and evaluating them, tracking relevant AI developments, including developments at the intersection of data infrastructure and AI/ML workflows.
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Experience
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<b>Required:</b> 3 or more years Experience in a technical role.
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Education
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<b>Required:</b> Bachelor's Degree Computer Science, Engineering, or related field
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<b>Preferred:</b> Master's Degree Computer Science, Engineering, or related field
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Experience and Education Exchange
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Education above the minimum may be substituted for experience.
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Knowledge, Skills, and Abilities
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Hands-on understanding of Linux operating systems and command-line tools.
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Hands-on experience with containers, e.g. Docker.
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Familiarity with core networking concepts including IP addressing, DNS, and basic network troubleshooting.
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Familiarity with at least one scripting language (e.g., Python, Bash).
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Experience with version control systems, collaboratively using branches and pull requests and CI/CD concepts.
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Experience with data frameworks like Apache Spark, object storage, Parquet, Apache Iceberg or similar.
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Experience with automation frameworks (Puppet, Ansible, Terraform).
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Experience with AI processing frameworks (MLFlow, ClearML or similar) (pref).
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Experience with deploying or operating workloads on Kubernetes (pref).
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Basic cloud platform familiarity (AWS, GCP, Azure) (pref).
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About Jefferson Lab
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Join a community with a common purpose of solving the most challenging scientific and engineering problems of our time. The Jefferson Lab campus is located in southeastern Virginia amidst a vibrant and growing technology community.
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A career at Jefferson Lab is more than a job. You will be part of “big science” and work alongside top scientists and engineers from around the world unlocking the secrets of our visible universe. Managed by Jefferson Science Associates, LLC, Thomas Jefferson National Accelerator Facility is entering an exciting period of mission growth and is seeking new team members ready to apply their skills and passion to have an impact. You could call it work, or you could call it a mission. We call it a challenge. We do things that will change the world.
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Total Rewards at Jefferson Lab
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At Jefferson Lab, we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Our benefits program includes, but is not limited to:
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<ul>
<li>Medical, Dental, and Vision Care Plans • Flexible Spending Accounts</li>
<li>Paid Time-off and Leave Programs (Paid Parental, vacation, holidays, and sick leave)</li>
<li>401(k) Plan – 9% Lab Contribution; 100% vested • Flexible Work Arrangements</li>
</ul>
(Remote & Alternate Work Schedules available)
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<ul>
<li>Tuition Assistance, Training and Professional Development Programs</li>
<li>Live near the waterways of the Chesapeake Bay region with access to nearby beaches,</li>
</ul>
mountains, and all major metropolitan centers on the East Coast
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Jefferson Science Associates, LLC (JSA) manages and operates the Thomas Jefferson National Accelerator Facility (Jefferson Lab). JSA is an Equal Opportunity Employer.
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JSA is committed to providing reasonable accommodation for people with disabilities (unless doing so will result in an undue hardship). If you need a reasonable accommodation for any part of the employment process, please send an e-mail to recruiting@jlab.org or contact Human Resources by calling (757) 269-7100 and selecting option 1 between 8 am – 5 pm EST to provide the nature of your request.
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Employment with JSA is conditional upon DOE approval if at any time during your employment you are participating in a Foreign Government Talent Recruitment Program or Affiliated activity. Generally, such programs/activities include any foreign-state-sponsored attempt to acquire U.S.-funded scientific research through programs run or funded by the government that target scientists, engineers, students, academics, researchers, and entrepreneurs of all nationalities working or educated in the United States. This includes positions or appointments, both domestic and foreign, titled academic, professional, or institutional appointments whether or not remuneration is received and whether full-time, part-time or voluntary.
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<b>Nearest Major Market:</b> Hampton Roads

Data Infrastructure Engineer

Converge

<div>
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  <strong>
   Data Engineer | Abu Dhabi, UAE
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 <p>
  <strong>
   What This Role Is About
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  Our client is looking for a Data Engineer, based in Abu Dhabi, to design, build, and optimise data pipelines and infrastructure that support business intelligence and analytics initiatives.
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  This role will focus on managing large datasets, ensuring data accuracy and availability, and enabling efficient data flow across systems.
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  You will work closely with cross-functional teams to support data-driven decision-making and improve overall data architecture.
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  You will also play a key role in maintaining data quality, enhancing data models, and supporting advanced analytics use cases.
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 </p>
 <p>
  <strong>
   The Client&rsquo;s Definition of the Ideal Fit
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   7+ years of experience in data engineering or a related field.
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   Bachelor&rsquo;s degree in Coastal Engineering, Marine Engineering, or a related discipline.
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   Strong experience in building and managing data pipelines and data infrastructure.
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   Proficiency in data tools, databases, and ETL processes.
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   Strong understanding of data modelling, data warehousing, and data governance.
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   Ability to work with cross-functional teams and support data-driven initiatives.
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 </ul>
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  This is an opportunity to work on impactful data projects while leveraging domain expertise within a specialised environment in Abu Dhabi.
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Data Engineer

The GEO Group, Inc.

<div>Benefits Information:
<p>
Position is onsite Full-Time in the Boulder/Gunbarrel office.</p><p></p><p><b><br>
This job posting is anticipated to remain open until April 30th, 2026</b></p><p></p><p><br>
Full-time employees will enjoy a competitive benefits package with options for you and your family including:</p><div><div><ul><li>3 weeks Paid Time Off</li></ul><ul><li><br>
15 Paid Holidays</li></ul></div><div><ul><li><br>
401(k) Matching</li></ul><ul><li><br>
Health Insurance</li></ul></div><div><ul><li><br>
Vision Insurance</li></ul><ul><li><br>
Life Insurance</li></ul></div><div><ul><li><br>
Health Savings Account</li></ul><ul><li><br>
Tuition Reimbursement</li></ul></div><div><ul><li><br>
Employee Discount</li></ul><ul><li><br>
Reduced Tuition Rates</li></ul></div><div><ul><li><br>
Disability Insurance</li></ul><ul><li><br>
Employee Assistance Program</li></ul></div><div><ul><li><br>
401(k)</li></ul><ul><li><br>
Pet Insurance</li></ul></div><div><ul><li><br>
Dental Insurance</li></ul><ul><li><br>
Paid Training</li></ul></div><div><ul><li><br>
Flexible Spending Account</li></ul></div></div><p></p><p><br>
The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.</p><p><b>
Equal Opportunity Employer</b></p>
Overview:
<div>
BI is one of the leading technology companies in Colorado and the largest provider of innovative electronic monitoring solutions in the United States. We excel at proving technological solutions to over 1,000 agencies nationwide and allowing those agencies to fulfill their missions without worrying about the technical complexities.</div>
Qualifications:
<div><b>
Minimum Requirements</b></div><ul><li>
Bachelor&rsquo;s Degree in Computer Science or related field or equivalent experience.</li><li>
At least five (5) years of professional experience in data engineering, database administration, or software development with a &quot;data focus.&quot;</li><li>
At least three (3) years of experience building and managing large-scale data solutions.</li><li>
United States citizenship required.</li><li>
Ability to receive client&rsquo;s approval to work on contract required.</li><li>
Must live in the US 3 of the last 5 years (military and study abroad included).</li><li>
SQL expertise, including query optimization, indexing, partitioning, and database tuning.</li><li>
Working knowledge of data collection and management tools.</li><li>
Experience with AWS data services, such as Redshift, S3, Glue, Athena, Step Functions, and Lambda.</li><li>
Hands-on experience with ETL/ELT workflow tools.</li><li>
Experience working with Tableau (or similar visualization tools) to support data visualization and dashboarding.</li><li>
Familiarity with data lake architecture, including AWS Data Lake integration and best practices.</li><li>
Experience with data obfuscation tooling, such as Glue DataBrew and Faker</li><li>
Understanding of data warehousing principles and dimensional modeling.</li><li>
Experience working in Agile environments and familiarity with CI/CD practices in data engineering.</li><li>
Effective communication skills with internal and external contacts at all levels, both written and verbal.</li><li>
Excellent analytical skills and commitment to continuous improvement of data insights.</li><li>
Ability to perform problem analysis and resolution.</li><li>
Ability to maintain confidentiality with regard to information stored in operational databases. Ability to work with computers and the necessary software typically used by the department.</li></ul><div><b>
Working Conditions: Encountered on a regular basis as part of the work this job performs.</b></div><ul><li>
Typical office environment.</li><li>
Some work in computer-testing lab with cold temperatures, and high noise levels from hardware alarms.</li><li>
Ability to reach with hands and arms and to use hands to finger, handle or feel to move computers and testing equipment.</li><li>
Ability to climb or balance, stoop, kneel, crawl or crouch, to move computers and testing equipment.</li></ul><div>
BI Incorporated</div>
Responsibilities:
<div><b>
Summary</b></div><div>
The Data Engineer is responsible for developing and maintaining data infrastructure components, including data pipelines, databases, data lakes, and data warehouses, to support accurate and timely data access for business intelligence and analytics. This role collects, processes, and transforms raw data into structured, usable formats for reporting and insights. The Data Engineer works with AWS cloud services, SQL, scripts, and big data tools to support large datasets, optimize performance, and automate data workflows to build business intelligence reports.</div><div></div><div><b><br>
Primary Duties and Responsibilities</b></div><ul><li>
The Data Engineer designs, develops, and maintains scalable and reliable data pipelines for ingesting, transforming, and storing structured and unstructured data.</li><li>
Implements ETL/ELT workflows using AWS services.</li><li>
The Data Engineer ensures data integrity, security, and governance through best practices in validation and monitoring.</li><li>
Builds and maintains data warehouse solutions.</li><li>
The Data Engineer manages and optimizes AWS Data Lake environments, integrating data from multiple sources for analytics and reporting.</li><li>
Implements data modeling best practices to enhance performance and scalability.</li><li>
Optimizes query performance, indexing, partitioning, and storage costs across warehouse and data lake environments.</li><li>
The Data Engineer works with Tableau and other visualization tools to ensure seamless data integration for business reporting and analytics.</li><li>
Builds data extracts, materialized views, and optimized datasets for efficient reporting.</li><li>
The Data Engineer collaborates with business analysts and product teams to ensure data is structured for self-service analytics.</li><li>
Stays up to date with emerging data engineering technologies and best practices.</li><li>
The Data Engineer assembles large, complex sets of data that meet non-functional and functional business requirements.</li><li>
Identifies, designs, and implements internal process improvements for scalability, data delivery optimization, and automation.</li><li>
The Data Engineer builds required infrastructure for optimal extraction, transformation, and loading of data from various data sources using AWS and SQL technologies. Builds analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics, including operational efficiency and customer acquisition.</li><li>
Works with stakeholders, including Executive, Product, Data, and Design teams, to support data infrastructure needs and assist with data-related technical issues.</li><li>
Performs other duties as assigned.</li></ul>
Pay: Pay USD $110,000.00/Yr. to USD $125,000.00/Yr.</div>

DATA ENGINEER

Appgain

<p>We are looking for a focused and highly skilled <b>Part-Time Data Engineer</b> to join our team.<br/>You will be responsible for designing, building, and maintaining our data pipelines and infrastructure. Since this is a part-time role we are looking for a professional who can work independently, prioritize high-impact tasks, and ensure our data is clean, accessible, and reliable for our software products and business analytics.<br/><b>Key Responsibilities</b></p><p><b>1. Data Architecture &amp; ETL</b></p><ul><li>Design and implement robust ETL/ELT pipelines to move data from various sources (APIs, Databases, Logs) into our data warehouse.</li><li>Optimize data flow and collection for cross-functional teams (Product, Engineering, Sales).</li><li>Ensure data integrity and high availability for our software applications.</li></ul><p><b>2. Infrastructure &amp; Maintenance </b></p><ul><li>Monitor and tune database performance and query efficiency.</li><li>Implement data security and privacy best practices (GDPR/Compliance).</li><li>Maintain and scale our data stack (e.g., PostgreSQL, BigQuery, Snowflake, or similar).</li></ul><p><b>3. Tooling &amp; Collaboration </b></p><ul><li>Build internal tools for data monitoring and automated reporting.</li><li>Work closely with the Project Coordinator and Developers to ensure data requirements are met for new feature launches.</li></ul><p><b>Required Technical Stack</b></p><ul><li><b>Languages:</b> Mastery of <b>SQL</b> and <b>Python</b> (or Scala/Java).</li><li><b>Data Tools:</b> Experience with orchestration tools like <b>Airflow</b>, Prefect, or dbt.</li><li><b>Cloud:</b> Proficiency in <b>AWS, Azure, or GCP</b> (Google Cloud Platform).</li><li><b>Big Data:</b> Familiarity with Spark, Kafka, or NoSQL databases is a plus.</li></ul><p><b>Required Experience </b></p><ul><li><b>Experience:</b> 3&ndash;5 years of professional experience in Data Engineering.</li><li><b>Autonomy:</b> Proven ability to manage your own time and deliver projects within a part-time schedule.</li><li><b>Communication:</b> Crystal-clear English communication (essential for asynchronous work and documentation).</li></ul><p>Application Question(s):</p><ul><li>This role requires coming to the office for meetings when needed</li></ul><p>Do you mind that ?</p><p>Education:</p><ul><li>Bachelor's (Preferred)</li></ul><p>Experience:</p><ul><li>Data Engineer: 4 years (Preferred)</li></ul><p>Work Location: Hybrid remote in Giza</p>

SR .Data Engineer (Part-Time)

Kwik Trip

<div><p>Already a Kwik Trip Coworker? Follow this link to apply: myapps.kwiktrip.com<br>
<b>Location:</b> Department 671<br>
<b>Shift:</b> Daytime<br>
<b>Experience:</b> 2+ years<br>
<b>Pay Range:</b> $85,633.60 to $128,450.14</p><p>
Actual pay will be based on various factors, such as a candidate&rsquo;s qualifications, skills, competencies, proficiency for the role, and internal equity. In addition to base pay, Kwik Trip gives 40% of pre-tax profits back to our coworkers with bonuses ranging from 8-12% of each coworker&rsquo;s gross annual wage depending on company profitability and offers a comprehensive benefits package, including health insurance, 401k, paid time off, and more.</p><p></p><div><ul><li><br>
<b>This position is not eligible for sponsorship.</b></li></ul><b>
Department: </b>Information Technology<p><b>
Location: </b>La Crosse Support Center | Onsite</p><p><b>
Job Type: </b>Full-time</p><b><br>
About the Role</b><br>
Kwik Trip&rsquo;s Data Engineering team is growing! We&rsquo;re looking for a Data Engineer II who thrives on solving complex data challenges and building scalable infrastructure. If you&rsquo;re passionate about transforming raw data into actionable insights and enjoy working in a collaborative, fast-paced environment, we want to hear from you.</div><div>
</div><div><b>
What You&rsquo;ll Do</b></div><ul><li>
Build, test, and maintain robust data pipelines and architectures</li><li>
Develop real-time integrations and troubleshoot data infrastructure issues</li><li>
Evaluate and implement emerging data technologies</li><li>
Create and maintain technical documentation and data flow diagrams</li><li>
Collaborate with cross-functional teams to support business initiatives</li><li>
Analyze data for trends, anomalies, and optimization opportunities</li><li>
Support data transformation, metadata management, and workload orchestration</li></ul><div><b>
What You&rsquo;ll Bring</b></div><ul><li>
2&ndash;5 years of experience as a Data Engineer</li><li>
Bachelor&rsquo;s degree in Information Systems, Computer Science, or related field</li><li>
Advanced SQL skills and experience with relational and big data databases</li><li>
Proficiency in Python, Scala, or R</li><li>
Experience with ETL tools (Informatica, SSIS, Talend)</li><li>
Familiarity with Databricks, Snowflake, and stream processing technologies</li><li>
Strong analytical and problem-solving skills</li><li>
Ability to work independently and in team settings</li><li>
Excellent communication skills</li></ul><div><b>
Bonus Points</b></div><ul><li>
Experience with natural language processing or statistical modeling</li><li>
Familiarity with Agile methodologies and source control best practices</li></ul><p><b>
Work Schedule: </b>Monday&ndash;Friday, standard business hours</p><br>
Kwik Trip, Inc. is a family-owned, Midwest company, in operation since 1965. We are dedicated to serving our guests and coworkers while treating everyone like family. Along with our award-winning culture, we are proud to be an Equal Opportunity Employer. Learn more about Kwik Trip and our culture.</div>

Data Engineer 2 (Experienced / Mid-Level)

NTT DATA

<div>NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.<br>
<br>
We are currently seeking a Data Engineer to join our team in Nashville, Tennessee (US-TN), United States (US).<br>
<br>
<b>Overview:</b><b> </b>NTT DATA is seeking an experienced Data Engineer to join our innovative Data Village team. This role is based on-site in either Plano, TX or Nashville, TN and supports a dynamic, high-performing team delivering cutting-edge data solutions. The ideal candidate will bring 4&ndash;7 years of data engineering experience, with strong proficiency in Java and Python. We are looking for a self-directed engineer who can drive platform capabilities with minimal oversight, particularly across EKS infrastructure, platform engineering, and ModelOp platform management.
<br>
<br>
<b>Key Responsibilities:</b><b>
</b><ul><li><b>Hands-On Architecture and Engineering:</b><b> </b>Engage in hands-on architecture and engineering tasks. It is key for this role to have an in-depth understanding of cloud application deployment architectures using container management services such as Kubernetes and Amazon's EKS service. This may also expand into other areas such as data governance, data platform development/management, data engineering and pipelining, and framework development/adoption.
</li><li><b>Backlog Prioritization and Resource Assignment:</b><b> </b>Interface directly with teams to understand their priorities and assign resources accordingly. Ensure alignment with goals and objectives.
</li><li><b>Conduit Between Teams:</b><b> </b>Act as a bridge between various teams and NTT DATA's Data Practice. Identify opportunities where NTT DATA can provide additional thought leadership and support.
</li><li><b>Innovation and Automation:</b><b> </b>Ideate on innovation opportunities in the data management space. Apply GenAI and other automation techniques to improve productivity and enhance solution maturity.
</li></ul><b>Requirements:</b><b>
</b><ul><li><b>Experience:</b><b> </b>4-7 years of experience in team and technical leadership roles.
</li><li><b>Technical Skills:</b><b> </b>Strong background in data architecture and engineering, with experience in supporting legal, risk, compliance, finance, and HR functions. Proficiency in the following areas:
<ul><li><b>Data Integration:</b><b> </b>Proficiency in integrating data from various sources.
</li><li><b>Relational Databases:</b><b> </b>Strong knowledge of relational databases.
</li><li><b>Data Pipelines:</b><b> </b>Experience in building and managing data pipelines.
</li><li><b>Programming (Java and Python):</b><b> </b>Advanced skills in Java, Python and development of models for data science enablement.
</li><li><b>Kubernetes:</b><b> </b>Proficiency in using Kubernetes for container orchestration (AWS EKS is preferred). Having deep knowledge of Helm Chart configurations, including how to manage up/down scaling and application security in a microservices architecture.
</li><li><b>AWS:</b><b> </b>Strong knowledge of AWS services.
</li><li><b>Prometheus/JMeter/similar tools:</b><b> </b>Experience in creating application monitoring services.
</li><li><b>GitHub:</b><b> </b>Proficiency in using GitHub for version control.
</li><li><b>Jenkins:</b><b> </b>Experience in using Jenkins for continuous integration and delivery.
</li><li><b>Terraform:</b><b> </b>Strong knowledge of Terraform for infrastructure as code.
</li></ul></li><li><b>Leadership Skills:</b><b> </b>Proven ability to mentor and coach data engineers, with a focus on best practices and continuous improvement.
</li><li><b>Communication Skills:</b><b> </b>Excellent communication and interpersonal skills, with the ability to interface directly with teams and understand their needs.
</li><li><b>Innovation Mindset:</b><b> </b>Ability to think creatively and identify opportunities for innovation and automation in the data management space.
</li><li><b>Background Check:</b><b> </b>Must pass a background check, drug screening, and sign an NDA.<br>
</li></ul><br>
<br>
<br>
About NTT DATA:<br>
<br>
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com<br>
<br>
<br>
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.</div>

GEI Consultants

<div><p><b>Description</b><br>
</p><br>
<b>Your role at GEI.</b><br>
<br>
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI&rsquo;s AI solutions and digital initiatives. This role focuses on ensuring enterprise data is accessible, reliable, and governed so that AI capabilities can be deployed and scaled with confidence.<br>
<br>
The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores, implementing quality and governance controls, and supporting retrieval patterns such as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards.<br>
<br>
<b>Essential Responsibilities &amp; Duties</b><br>
<ul><li>
Design, build, and maintain data pipelines that ingest, transform, and deliver enterprise data to AI solutions and business applications.</li><li>
Develop and manage integrations across enterprise data sources using APIs, Graph connectors, event-driven architectures, and batch/streaming patterns.</li><li>
Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns.</li><li>
Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows.</li><li>
Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics.</li><li>
Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness.</li><li>
Instrument data pipelines for monitoring, alerting, cost control, and performance optimization.</li><li>
Implement data governance and security controls including access management, encryption, and compliance with organizational data policies.</li><li>
Identify data-related risks and support mitigation strategies in collaboration with architecture and platform teams.</li></ul><br>
<b>
Minimum Qualifications</b><br>
<ul><li>
4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.</li><li>
Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.</li><li>
Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL.</li><li>
Familiarity with Azure AI Search, Cosmos DB, or similar services used to support AI retrieval and storage patterns.</li><li>
Experience building and managing ETL/ELT pipelines with structured, semi-structured, and unstructured data sources.</li><li>
Knowledge of data modeling, schema design, and indexing strategies for both analytical and AI workloads.</li><li>
Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g., Terraform, Azure DevOps).</li><li>
Knowledge of data governance principles, including data cataloging, lineage, access control, and privacy requirements.</li><li>
Knowledge of security best practices for data solutions, including encryption at rest and in transit, role-based access control, and private networking.</li><li>
Experience with Databricks, including Delta Lake and Unity Catalog, is a plus.</li><li>
Prior experience in professional services, engineering, or construction environments is a plus.</li><li>
Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus.</li></ul><br>
<b>
We are GEI.</b><br>
<br>
Some of the world&rsquo;s most pressing problems &ndash; from climate change to sustainable development, to critical infrastructure and the future of our energy supply &ndash; need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.<br>
<br>
We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients&rsquo; most complex challenges.<br>
<br>
With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here.<br>
<br>
<b>Employee-owned. Employee-focused.</b><br>
<br>
As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more. Our company culture is driven by our 4 Cs &ndash; we are Client-Centered, Curious, Collaborative, and Community Minded &ndash; which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI&rsquo;s career site here.<br>
<br>
<b>GEI&rsquo;s Total Rewards Package Includes</b><ul><li>
Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus</li><li>
Pay Range For This Position: $90,000.00 &ndash; $150,000.00/year</li><li>
Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More</li><li>
Well-Being Program and Paid Parental Leave</li><li>
Commuter Benefits</li><li>
Hybrid Work Schedules and Cell Phone Stipends</li><li>
GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement</li><li>
Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement</li><li>
Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses</li><li>
Paid Holidays and Generous Paid Time Off Program</li><li>
Rewards and Recognition</li><li>
GEI-Funded Profit Sharing and 401(k)</li><li>
Opportunity to be an Owner and Shareholder (Learn more here)</li><li>
A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion</li><li>
And More&hellip;</li></ul><br>
<b>
PHYSICAL REQUIREMENTS</b><div><div><div><div><div><div><br>
WORK ENVIRONMENT</div><div></div><div><br>
</div></div><div></div><br>
<br>
<div><div><br>
Functional Demands:</div><div></div><div><br>
</div></div><br>
<div><div><br>
</div><div></div><br>
<div><br>
Sedentary</div><div><br>
x</div><div><br>
Light</div><div><br>
</div><div><br>
Medium</div><div></div><div><br>
Other</div></div><div></div><div><div><b><br>
</b><br>
<b>Activity Level Throughout Workday </b><i>(check one per row)</i></div></div><br>
<div><div><br>
<b>
Physical Activity Requirements</b></div><div><br>
<b>Occasional</b><br>
<b>(0-35% of day)</b></div><div><br>
<b>Frequent</b><br>
<b>(33-66% of day)</b></div><div><br>
<b>Continuous</b><br>
<b>(67-100% of day)</b></div><div><br>
<b>Not Applicable</b></div></div><br>
<div><div><br>
Sitting</div><div></div><div><br>
</div><div><br>
x</div></div><div></div><div><div><br>
Standing</div><div><br>
</div><div><br>
x</div></div><div></div><div><div><br>
Walking</div><div><br>
x</div></div><div></div><div><div><br>
Climbing</div><div></div><div><br>
</div><div><br>
x</div></div><br>
<div><div><br>
Lifting (floor to waist level) <i>(in pounds)</i></div><div><br>
x</div></div><div></div><div><div><br>
Lifting (waist level and above)<i> (in pounds)</i></div><div><br>
x</div></div><div></div><div><div><br>
Carrying objects</div><div><br>
x</div></div><div></div><div><div><br>
Push/pull</div><div><br>
x</div></div><div></div><div><div><br>
Twisting</div><div><br>
x</div></div><div></div><div><div><br>
Bending</div><div><br>
x</div></div><div></div><div><div><br>
Reaching forward</div><div><br>
x</div></div><div></div><div><div><br>
Reaching overhead</div><div><br>
x</div></div><div></div><div><div><br>
Squat/kneel/crawl</div><div><br>
x</div></div><div></div><div><div><br>
Wrist position deviation</div><div><br>
</div><div><br>
x</div></div><div></div><div><div><br>
Pinching/fine motor skills</div><div><br>
x</div></div><div></div><div><div><br>
Keyboard use/repetitive motion</div><div></div><div><br>
</div><div><br>
x</div></div><div></div><div><div><br>
Taste or smell (taste=never)</div><div></div><div><br>
</div><div><br>
x</div></div><br>
<div><div><br>
Talk or hear</div><div></div><div><br>
</div><div><br>
x</div></div><div></div><div><div><b><br>
Accurate 20/40</b></div><div><br>
<b>Very Accurate 20/20</b></div><div><br>
<b>Not Applicable</b></div></div><br>
<div></div><div><div><br>
Near Vision</div><div><br>
</div><div><br>
x</div></div><br>
<div></div><div><div><br>
Far Vision</div><div><br>
</div><div><br>
x</div></div><div></div><div><div><br>
<b>
Yes</b></div><div><br>
<b>No</b></div><div><br>
<b>Not Applicable</b></div></div><br>
<div></div><div><div><br>
Color Discrimination</div></div><div></div><div><div><b><br>
Sensory Requirements</b></div><div><br>
<b>Minimal</b></div><div><br>
<b>Moderate</b></div><div><br>
<b>Accurate</b></div><div><br>
<b>Not Applicable</b></div></div><br>
<div><div><br>
Depth perception</div><div></div><div><br>
x</div></div><div></div><div><div><br>
Hearing</div><div></div><div><br>
</div><div><br>
x</div></div></div><div></div><b><br>
</b><br>
<b>Environment Requirements</b><div><div><div><div><br>
<b>
Occupational Exposure Risk Potential</b></div><div><br>
<b>Reasonably Anticipated</b></div><div><br>
<b>Not Anticipated</b></div></div><br>
</div><div><div><div><br>
Blood borne pathogens</div><div><br>
</div><div><br>
x</div></div><br>
<div><div><br>
Chemical</div><div><br>
</div><div><br>
x</div></div><br>
<div><div><br>
Airborne communicable diseases</div><div><br>
</div><div><br>
x</div></div><br>
<div><div><br>
Extreme temperatures</div><div><br>
</div><div><br>
x</div></div><br>
<div><div><br>
Radiation</div><div><br>
</div><div><br>
x</div></div><br>
<div><div><br>
Uneven surfaces or elevations</div><div><br>
x</div></div><div></div><div><div><br>
Extreme noise levels</div><div><br>
</div><div><br>
x</div></div><br>
<div><div><br>
Dust/particulate matter</div><div><br>
x</div></div></div></div><div></div><div><div><br>
<b>
Other (exposure risks):</b></div></div><div></div><div><div><br>
<b>
Usual workday hours</b>:</div><div><br>
x</div><div><br>
8</div><div><br>
</div><div><br>
10</div><div><br>
</div><div><br>
12</div><div></div><div><br>
Other work hours</div></div></div></div></div><br>
<div></div>
<i>
GEI is an AA/equal opportunity employer, including disabled and veterans.</i></div>

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