data solutions engineer

Edward Jones

<div><b>Position Schedule: </b>Full-Time<br>
<br>
This job posting is anticipated to remain open for 30 days, from 09-Apr-2026. The posting may close early due to the volume of applicants.<br>
<br>
<b>Team Overview:</b><br>
At Edward Jones, our Data Security team is developing controls, requirements and patterns that empowers the firm to innovate securely by embedding resilient, regulation-aligned security practices across all data environments, and fostering a culture where confidentiality, integrity, and availability of data are foundational to business success. In a Security Engineering role you will be expected to design detections, support capability testing and implementation as well as build deployment patterns. This is an exceptional challenge and opportunity for someone who is excited for rapid change and continuous learning.<br>
<br>
<b>What you'll do</b><br>
<ul><li>
Align business requirements with appropriate security controls and develop and maintain security configuration baselines and integration documentation.</li><li>
Design and implement detections across multiple security platforms.</li><li>
Reviewing technical solutions, identifying gaps and compensating controls and escalating high‑risk designs as needed.</li><li>
Assess and validate the effectiveness of data security solutions through testing and evaluation.</li><li>
Support remediation efforts to resolve internal and external data‑security issues and address compliance gaps.</li><li>
Translate enterprise data security controls and classification frameworks, developed for unstructured data environments, into equivalent, enforceable controls for structured data sources including databases, data warehouses, and analytical platforms, ensuring consistent protection posture across all data domains.</li><li>
Support proof‑of‑concepts or pilots efforts and support for remediation of security and compliance gaps.</li></ul><br>
Edward Jones' compensation and benefits package includes medical and prescription drug, dental, vision, voluntary benefits (such as accident, hospital indemnity, and critical illness), short- and long-term disability, basic life, and basic AD&amp;D coverage. Short- and long-term disability, basic life, and basic AD&amp;D coverage are provided at no cost to associates. Edward Jones offers a 401k retirement plan, and tax-advantaged accounts: health savings account, and flexible spending account. Edward Jones observes ten paid holidays and provides 15 days of vacation for new associates beginning on January 1 of each year, as well as sick time, personal days, and a paid day for volunteerism. Associates may be eligible for bonuses and profit sharing. All associates are eligible for the firm's Employee Assistance Program. For more information on the Benefits available to Edward Jones associates, please visit our benefits page.<br>
<br>
<b>Hiring Minimum:</b> $86300<br>
<br>
<b>Hiring Maximum:</b> $146700<br>
<ul><li>
<b>
Skills/Requirements</b></li></ul><br>
<b>
What Experience You'll Need:</b><br>
<ul><li>
Bachelor's degree (preferred) in Computer Science, Management Information
</li><li>5+ years of experience in data security, cybersecurity engineering, or cloud security roles.</li><li>
Experience supporting audits, risk assessments, and regulatory examinations.</li><li>
Hands‑on experience in data security engineering within a financial services environment (preferred).</li><li>
Understanding of identity‑centric and behavior‑based security models, including Zero Trust principles, identity‑aware data access, privileged‑user monitoring, insider‑threat detection, UEBA, anomaly detection, and SIEM/SOAR integrations.</li><li>
Hands‑on experience with one or more data security technologies across structured data environments, including Database Activity Monitoring (DBAM), data discovery and inventory, data access governance, CASB, DLP, and DSPM.</li><li>
Designing and implementing high-fidelity detections across Cloud, SIEM and DLP platforms.</li><li>
Experience reducing false positives without creating blind spots.</li><li>
Experience extending data security controls and governance to advanced workloads, including Machine Learning and Large Language Model (AI) systems (preferred).</li><li>
Knowledge of NIST SP 800‑53 and the NIST Cybersecurity Framework (CSF)</li><li>
Familiarity with GLBA, SOX, FFIEC, and NYDFS 500 regulatory requirements. (preferred)</li><li>
Ability to communicate complex technical concepts and risks to non‑technical stakeholders, translating technical issues into clear business impacts.</li><li>
Ability to partner with adjacent security domains (e.g., unstructured data security, DLP, DSPM) to ensure consistent policy application and to translate control requirements across data types and environments.</li></ul><br>
<b>
Current INTERNAL home-based associates: </b>While this role is posted as hybrid, <b>if selected and accepted, you may retain your home-based status</b>. Edward Jones intends in good faith to continue offering the role as home-based, though future business or regulatory needs may require on-site work.<br>
<br>
<b>**Candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office four days per week effective June 1, 2026. Before June 1, 2026, candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office three days per week, with preference for Tuesday through Thursday.**<br>
</b><br>
<br>
<ul><li><br>
<b>Awards &amp; Accolades</b></li></ul><br>
At Edward Jones, we are building a place where everyone feels like they belong. We're proud of our associates' contributions to the firm and the recognitions we have received.<br>
<br>
Check out our U.S. awards and accolades: Insights &amp; Information Blog Postings about Edward Jones<br>
<br>
Check out our Canadian awards and accolades: Insights &amp; Information Blog Postings about Edward Jones<br>
<ul><li>
<b>
About Us</b></li></ul><br>
Join a financial services firm where your contributions are valued. Edward Jones is a Fortune 500&sup1; company where people come first. With over 9 million clients and 20,000 financial advisors across the U.S. and Canada, we're proud to be privately-owned, placing the focus on our clients rather than shareholder returns.<br>
<br>
Behind everything we do is our purpose: We partner for positive impact to improve the lives of our clients and colleagues, and together, better our communities and society. We are an innovative, flexible, and inclusive organization that attracts, develops, and inspires performance excellence and a sense of belonging.
<br>
<br>
People are at the center of our partnership. Edward Jones associates are seen, heard, respected, and supported. This is what we believe makes us the best place to start or build your career.
<br>
<br>
View our Purpose, Inclusion and Citizenship Report.<br>
<br>
&sup1;Fortune 500, published June 2024, data as of December 2023. Compensation provided for using, not obtaining, the rating.<br>
<br>
Edward Jones does not discriminate on the basis of race, color, gender, religion, national origin, age, disability, sexual orientation, pregnancy, veteran status, genetic information or any other basis prohibited by applicable law.<br>
<br>
#LI-HO</div>

Data Security Solutions Engineer III

IMC Financial Markets

<p></p><div><div><div><div><div><div>Experienced</div></div><div></div><div><div>
Technology</div></div><div></div><div><div>
Chicago</div></div></div></div><div></div><div><div><br>
Polar Operations LLC (d/b/a IMC Markets) is seeking a Data Engineer in Chicago, IL.</div>
<div><b>
Your Core Responsibilities</b></div>
<ul>
<li><div>The Data Engineer builds and administers data workflows in IMC&rsquo;s evolving, modern big data environment.</div>
</li>
<li><div>Develop and extend in-house data toolkits based in Python and Java.</div>
</li>
<li><div>Build data pipelines using big data tools including Hadoop, Kafka, Spark, and AWS.</div>
</li>
<li><div>Work with our trading and research teams to develop data solutions.</div>
</li>
<li><div>Assist in identifying solutions that match the problem space and harmonize with our internal data platform.</div>
</li>
<li><div>Improve the performance of financial analytics platforms built around the big data ecosystem.</div>
</li>
</ul><div>Partial telecommuting permitted.</div>
<div>
Data Engineer (Requisition ID: 4453344101)</div><br>
<div></div>
<div><b>
Your Skills and Experience</b></div>
<div>
This position requires a Bachelor&rsquo;s degree, or foreign equivalent, in computer science or engineering, information technology, or similarly quantitative technology field and six (6) months of experience in the job offered or a related occupation.</div>
<div>
Must have six (6) months experience in the following skill(s):</div>
<ul>
<li>Data engineering, systems engineering, or similar in a high-throughput, big data ecosystem;</li>
<li>Building and administering data workflows using Hadoop, Spark, and SQL, including troubleshooting and root-cause analysis;</li>
<li>Developing streaming data applications using Kafka;</li>
<li>Developing and extending data solutions in containerized environments (Docker or Kubernetes) using Java, Python, or common data-science toolkits; and</li>
<li>Unix scripting (Bash, tcsh, zsh, and Python).</li>
</ul>
<div>#LI-DNI</div><div><div><b>
About Us</b></div>
<div>
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we&rsquo;ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.</div></div></div><div></div><div><div><div><br>
The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit <div>Benefits - US | IMC Trading</div> for more comprehensive information.</div></div><h5 class="jobSectionHeader"><b>
Salary Range</b></h5><div>
$135,000.00 - $220,000.00 USD</div></div></div></div><div></div>

DATA ENGINEER

ADVANCED MANAGEMENT STRATEGIES GROUP(AMSG)

<div><div>JOB OPENINGS &gt;&gt; Data Engineer</div><p>
Data Engineer</p><p>
Summary</p><div><div><div><b>
Title:</b></div><div> Data Engineer</div></div><br>
<div><div><b>
ID:</b></div><div> 1616</div></div><br>
<div><div><b>
Location:</b></div><div> Fort Eustis, VA</div></div><br>
<div><div><b>
Department:</b></div><div> N/A</div></div><br>
</div><p>
Description</p><div><div>
AMSG is seeking a full time <b>Data Engineer</b> with U.S. Army Transformation and Training Command (T2COM) or other Army experience.</div><br>
<div></div>
<p>AMSG supports a variety of Department of Defense (DoD), Department of Veterans Affairs (VA), Department of Homeland Security (DHS), Defense Health Agency (DHA), Department of the Treasury, and Federal Trade Commission (FTC) programs with performance management services. We take pride in our great work environment and highly motivated company. Join our team of top talent in supporting the federal government!</p>
<p><b><i>We hire Veterans and military family members!</i></b></p>
<div><b>Location: </b>Fort Eustis, VA</div>
<div><b>Education:</b> Bachelor&rsquo;s Degree</div>
<div><b>Experience:</b> 4 years of professional experience</div>
<div><b>Clearance Requirements:</b> DoD Secret Clearance (Top Secret preferred)</div>
<div><b>Job Type: </b>Full Time/Hybrid</div><br>
<div><br>
<b>General Description:</b></div>
<div>AMSG is seeking a full-time Data Engineer with a strong background in U.S. Army data systems to support T2COM. The ideal candidate will be an expert in data engineering, responsible for designing, building, and maintaining the data architecture and pipelines that enable advanced analytics and decision-making. You will join a team of top talent dedicated to supporting critical federal government programs.<br>
</div><div><b>Specific Duties:</b>
</div><ul><li>Serve as the subject matter expert for data engineering and data architecture within the program.</li>
<li>Design, develop, and maintain robust, scalable ETL (Extract, Transform, Load) pipelines using PySpark.</li>
<li>Build and manage data solutions within Palantir Foundry, ensuring data is integrated and available for analysis.</li>
<li>Develop and implement data models, data warehouses, and data storage solutions for both operational and analytical purposes.</li>
<li>Experience managing CI/CD processes to include branching strategies, proposal approvals, and writing test cases to ensure data compliance with existing schema expectations.</li>
<li>Create and manage data pipelines that integrate data from various sources into U.S. Army data platforms such as Vantage and Advana.</li>
<li>Ensure data interoperability and quality by implementing data standards, structures, and governance rules.</li>
<li>Work with structured, semi-structured, and unstructured data, to support a variety of analytical requirements.</li>
<li>Collaborate with data analysts and stakeholders to understand data needs and provide the necessary infrastructure to support analytics, reporting, and visualization tools.</li>
<li>Provide demonstrations on data engineering efforts to an audience of varying technical backgrounds.</li></ul><br>
<div>
</div><div><b>Requirements:</b></div>
<ul><li>Must possess an active Secret Security Clearance.</li>
<li>Proven experience as a Data Engineer or Data Architect.</li>
<li>Demonstrated proficiency in building ETL pipelines using PySpark.</li>
<li>Hands-on experience with Palantir Foundry.</li>
<li>Experience with U.S. Army systems and data environments (e.g., Vantage - Palantir Foundry, Advana).</li>
<li>Strong expertise in data modeling, designing data architectures, and defining data schemas.</li>
<li>Proficiency with Python in support of data engineering pipelines using Apache Spark.</li>
<li>Experience handling diverse data types, including structured, semi-structured, and unstructured data.</li>
<li>Ability to communicate to stakeholders of various levels of technical proficiency and breakdown concepts of data engineering and transformation logic.</li>
<li>Familiarity with Machine Learning/Artificial Intelligence concepts and their data requirements (including data structure needs).</li></ul><br>
<div>
</div><div>Desired Skills:</div>
<ul><li>Possess an active Top-Secret Security Clearance.</li>
<li>Experience supporting business intelligence and data visualization tools (e.g. Power BI, Qlik, Tableau).</li>
<li>Experience with other data processing technologies (e.g., Hadoop, Kafka).</li>
<li>General knowledge of cloud data services (AWS, Azure, etc.).</li>
</ul></div><div>APPLY NOW<div>
</div><p>
REFER TO A FRIEND</p></div><div><p>
Alternatively, you can apply to this job using your profile from Indeed by clicking the button below:</p><div>
<p><b>
Apply with Indeed</b></p></div></div></div>

GEI Consultants, Inc.

<div>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 <strong>
  Your role at GEI.
  <br/>
  <br/>
 </strong>
 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/>
 <strong>
  Essential Responsibilities &amp; Duties
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  We are GEI.
  <br/>
  <br/>
 </strong>
 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/>
 <strong>
  Employee-owned. Employee-focused.
  <br/>
  <br/>
 </strong>
 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/>
 <strong>
  GEI&rsquo;s Total Rewards Package Includes
  <br/>
  <br/>
 </strong>
 <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;
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Physical Requirements
  <br/>
  <br/>
 </strong>
 WORK ENVIRONMENT
 <br/>
 <br/>
 <strong>
  Functional Demands
  <br/>
  <br/>
 </strong>
 Sedentary
 <br/>
 <br/>
 x
 <br/>
 <br/>
 Light
 <br/>
 <br/>
 Medium
 <br/>
 <br/>
 <strong>
  Other
  <br/>
  <br/>
 </strong>
 <strong>
  Activity Level Throughout Workday
 </strong>
 <em>
  (check one per row)
  <br/>
  <br/>
 </em>
 <strong>
  Physical Activity Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Occasional
  <br/>
  <br/>
 </strong>
 <strong>
  (0-35% of day)
  <br/>
  <br/>
 </strong>
 <strong>
  Frequent
  <br/>
  <br/>
 </strong>
 <strong>
  (33-66% of day)
  <br/>
  <br/>
 </strong>
 <strong>
  Continuous
  <br/>
  <br/>
 </strong>
 <strong>
  (67-100% of day)
  <br/>
  <br/>
 </strong>
 <strong>
  Not Applicable
  <br/>
  <br/>
 </strong>
 Sitting
 <br/>
 <br/>
 x
 <br/>
 <br/>
 Standing
 <br/>
 <br/>
 x
 <br/>
 <br/>
 Walking
 <br/>
 <br/>
 x
 <br/>
 <br/>
 Climbing
 <br/>
 <br/>
 x
 <br/>
 <br/>
 Lifting (floor to waist level)
 <em>
  (in pounds)
  <br/>
  <br/>
 </em>
 x
 <br/>
 <br/>
 Lifting (waist level and above)
 <em>
  (in pounds)
  <br/>
  <br/>
 </em>
 x
 <br/>
 <br/>
 Carrying objects
 <br/>
 <br/>
 x
 <br/>
 <br/>
 Push/pull
 <br/>
 <br/>
 x
 <br/>
 <br/>
 Twisting
 <br/>
 <br/>
 x
 <br/>
 <br/>
 Bending
 <br/>
 <br/>
 x
 <br/>
 <br/>
 Reaching forward
 <br/>
 <br/>
 x
 <br/>
 <br/>
 Reaching overhead
 <br/>
 <br/>
 x
 <br/>
 <br/>
 Squat/kneel/crawl
 <br/>
 <br/>
 x
 <br/>
 <br/>
 Wrist position deviation
 <br/>
 <br/>
 x
 <br/>
 <br/>
 Pinching/fine motor skills
 <br/>
 <br/>
 x
 <br/>
 <br/>
 Keyboard use/repetitive motion
 <br/>
 <br/>
 x
 <br/>
 <br/>
 Taste or smell (taste=never)
 <br/>
 <br/>
 x
 <br/>
 <br/>
 Talk or hear
 <br/>
 <br/>
 x
 <br/>
 <br/>
 <strong>
  Accurate 20/40
  <br/>
  <br/>
 </strong>
 <strong>
  Very Accurate 20/20
  <br/>
  <br/>
 </strong>
 <strong>
  Not Applicable
  <br/>
  <br/>
 </strong>
 Near Vision
 <br/>
 <br/>
 x
 <br/>
 <br/>
 Far Vision
 <br/>
 <br/>
 x
 <br/>
 <br/>
 <strong>
  Yes
  <br/>
  <br/>
 </strong>
 <strong>
  No
  <br/>
  <br/>
 </strong>
 <strong>
  Not Applicable
  <br/>
  <br/>
 </strong>
 Color Discrimination
 <br/>
 <br/>
 <strong>
  Sensory Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Minimal
  <br/>
  <br/>
 </strong>
 <strong>
  Moderate
  <br/>
  <br/>
 </strong>
 <strong>
  Accurate
  <br/>
  <br/>
 </strong>
 <strong>
  Not Applicable
  <br/>
  <br/>
 </strong>
 Depth perception
 <br/>
 <br/>
 x
 <br/>
 <br/>
 Hearing
 <br/>
 <br/>
 x
 <br/>
 <br/>
 <strong>
  Environment Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Occupational Exposure Risk Potential
  <br/>
  <br/>
 </strong>
 <strong>
  Reasonably Anticipated
  <br/>
  <br/>
 </strong>
 <strong>
  Not Anticipated
  <br/>
  <br/>
 </strong>
 Blood borne pathogens
 <br/>
 <br/>
 x
 <br/>
 <br/>
 Chemical
 <br/>
 <br/>
 x
 <br/>
 <br/>
 Airborne communicable diseases
 <br/>
 <br/>
 x
 <br/>
 <br/>
 Extreme temperatures
 <br/>
 <br/>
 x
 <br/>
 <br/>
 Radiation
 <br/>
 <br/>
 x
 <br/>
 <br/>
 Uneven surfaces or elevations
 <br/>
 <br/>
 x
 <br/>
 <br/>
 Extreme noise levels
 <br/>
 <br/>
 x
 <br/>
 <br/>
 Dust/particulate matter
 <br/>
 <br/>
 x
 <br/>
 <br/>
 <strong>
  Other (exposure Risks)
  <br/>
  <br/>
 </strong>
 <strong>
  Usual workday hours
 </strong>
 :
 <br/>
 <br/>
 x
 <br/>
 <br/>
 8
 <br/>
 <br/>
 10
 <br/>
 <br/>
 12
 <br/>
 <br/>
 Other work hours
 <br/>
 <br/>
 <em>
  GEI is an AA/equal opportunity employer, including disabled and veterans.
 </em>
</div>


Data Engineer

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>

Accenture

<div>
 <strong>
  Accenture Technology:
  <br/>
  <br/>
 </strong>
 Through unmatched industry experience, leading-edge technologies, and a global delivery network, Accenture helps organizations accelerate innovation and drive meaningful transformation. By combining data, intelligence, and advanced engineering capabilities, we enable our clients to build scalable, high‑quality data solutions that power business decisions and operational excellence. Visit us at www.accenture.com.
 <br/>
 <br/>
 <strong>
  The Work:
  <br/>
  <br/>
 </strong>
 As a
 <strong>
  Data Engineer
 </strong>
 , you will be responsible for designing, building, and maintaining robust data solutions that support data generation, collection, migration, and processing across enterprise systems. You will play a key role in developing scalable data pipelines, ensuring data quality, and implementing ETL processes to enable reliable data movement and analytics. This role requires strong technical expertise, ownership of team decisions, and close collaboration with multiple stakeholders to deliver impactful, cross‑team solutions.
 <br/>
 <br/>
 <strong>
  Responsibilities:
  <br/>
  <br/>
  <br/>
 </strong>
 <li>
  Design, develop, and maintain end-to-end data pipelines to support data ingestion, transformation, and deployment across systems.
  <br/>
 </li>
 <li>
  Implement and manage ETL processes to ensure efficient and reliable data migration and processing.
  <br/>
 </li>
 <li>
  Ensure high standards of data quality, consistency, and integrity through continuous monitoring and optimization.
  <br/>
 </li>
 <li>
  Act as a subject matter expert, providing technical guidance and contributing to key architectural and design decisions.
  <br/>
 </li>
 <li>
  Collaborate with cross-functional teams to identify data requirements and deliver effective, scalable data solutions.
  <br/>
 </li>
 <li>
  Lead and support the team to ensure effective execution, timely delivery, and alignment with business objectives.
  <br/>
 </li>
 <li>
  Develop innovative data solutions that improve operational efficiency and enable data-driven decision-making.
  <br/>
 </li>
 <li>
  Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and scalability.
  <br/>
 </li>
 <li>
  Conduct regular data quality assessments and implement continuous improvements.
  <br/>
 </li>
 <li>
  Stay current with industry trends, emerging technologies, and best practices in data engineering.
  <br/>
  <br/>
  <br/>
 </li>
 <strong>
  Qualifications:
  <br/>
  <br/>
  <br/>
 </strong>
 <li>
  minimum 10 Years of experience.
  <br/>
 </li>
 <li>
  Master proficiency in Oracle Data Integrator (ODI) is required.
  <br/>
 </li>
 <li>
  Master proficiency in Data Migrations is highly recommended.
  <br/>
 </li>
 <li>
  Expert proficiency in Data Engineering, Data Pipelines, Data Processing, and Data Access is strongly preferred.
  <br/>
 </li>
 <li>
  Strong analytical, problem-solving, and collaboration skills, with the ability to work across multiple teams.
  <br/>
  <br/>
  <br/>
 </li>
</div>


Oracle Data Conversion Manager

Search 10000+ Data solutions engineer jobs near you this April. New roles added regularly across leading industries. Apply today.

10000 data solutions engineer jobs Near Me

Data Security Solutions Engineer III

Data Security Solutions Engineer III

DATA ENGINEER

DATA ENGINEER

Data Engineer

Data Engineer

Oracle Data Conversion Manager