senior data engineer

AKUMEN

<div><p>Akumen, Inc. delivers mission-focused technology, data, and cybersecurity services that help federal clients modernize operations, improve decision-making, and achieve measurable outcomes. Our goal is to provide secure, scalable, and innovative service delivery that aligns technical execution with client mission priorities.</p>
<p><b>
Overview</b></p>
<p>
Akumen is seeking a <b>Senior Data Engineer</b> to support development and sustainment of modern data platforms for a federal program. This role is responsible for building and maintaining data pipelines, integration processes, and cloud-based data solutions that support analytics, reporting, and mission operations. The position supports enterprise data movement, transformation, and curation activities across multiple environments.</p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Build and maintain scalable data pipelines for ingestion, transformation, and integration.</li>
<li>Support development of ETL/ELT workflows for data warehouses, data lakes, and analytics platforms.</li>
<li>Monitor and improve data quality, reliability, and performance across the data ecosystem.</li>
<li>Support cloud-based deployment, automation, and sustainment of production data systems.</li>
<li>Collaborate with architects, analysts, and developers to deliver data solutions aligned with mission needs.</li>
</ul>
<p><b>Minimum Required Qualifications</b></p>
<ul>
<li>Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.</li>
<li>Minimum of 8 years of professional experience in data engineering or data integration.</li>
<li>Hands-on experience building ETL/ELT pipelines using Python, SQL, or Scala.</li>
<li>Experience with cloud-based data platforms and big data environments.</li>
<li>Demonstrated experience with data ingestion, transformation, curation, and pipeline troubleshooting.</li>
</ul>
<p><b>Preferred Qualifications</b></p>
<ul>
<li>Advanced degree in a related field.</li>
<li>Experience with Databricks, Apache Spark, and AWS data services.</li>
<li>Experience supporting analytics, reporting, or machine learning data environments.</li>
<li>Familiarity with data governance, data quality, and metadata management practices.</li>
<li>Relevant cloud or data engineering certifications.</li>
</ul>
<p><b>Clearance Requirement</b></p>
<p>
Must possess an <b>active Secret security clearance or higher</b>, or have the ability to obtain and maintain a Secret clearance or higher in accordance with contract requirements.</p><p></p><div><p><i><br>
Akumen, Inc. is an equal employment opportunity employer. </i><i>All employment decisions are made without regard to </i><i>race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law (federal, state or local).</i><i> We value a respectful, inclusive workplace where everyone has the opportunity to succeed. Akumen, Inc. maintains a drug-free workplace, consistent with applicable local, state, and federal laws.</i></p></div></div>

Senior Data Engineer

Sun Communities

<p></p><div><div><div><div><h6 class="jobSectionHeader"><b>Career Site Header</b></h6>
</div></div><div></div><div><div><h3 class="jobSectionHeader"><b>Job Summary</b></h3>
</div><div>The Senior Data Engineer is a key resource in building and maintaining a modern enterprise data lake and data warehouse in Sun's Azure data platform. They will facilitate modern data platform processes and procedures for Sun and will establish robust data governance and management best practices. The Sr. Data Engineer works under the leadership of the Manager, Data Architecture to ensure core enterprise data objectives are accounted for in the design and implementation of the data platform infrastructure. Further, they will liaison with key business leadership and stakeholders to ensure that the design, validation, and implementation of the new data platform infrastructure meets the needs of Sun's business.</div></div><div><div><h3 class="jobSectionHeader"><b>
Job Duties</b></h3>
</div><div><ul><li>Builds and maintains Azure data platform for Sun including enterprise data lake and data warehouse in alignment with Sun's strategic objectives and organizational goals (Essential)</li><li>
Incorporates Azure data platform best practices into Sun's Azure data platform (Essential)</li><li>
Develops policies and implements mechanisms for data ingestion into Azure data platform from various sources (Essential)</li><li>
Supports &amp; mentors the data team on best practices &amp; methodologies (Essential)</li><li>
Leads navigating challenging or technical situations to find best business outcomes (Essential)</li><li>
Works with Microsoft support to ensure an ongoing stable data system.</li><li>
Configures, validates, and implements various Azure tools such as but not limited to Databricks, Data Factory, Data Lake, Synapse Analytics and Data Catalog as appropriate</li><li>
Works with the Manager, Data Architecture to define and implement robust data governance, certification, and management policies and mechanisms</li><li>
Converts functional requirements into technical specifications; creates technical documentation as needed</li><li>
Develops and maintains relationships with vendors</li><li>
Assists in maintaining business documentation for the data and data structure in the data warehouse</li><li>
Other duties as assigned</li><li>
Configures APIs for data extraction</li><li>
Creates and organizes Data Lake and Azure Synapse serverless objects to optimize performance</li><li>
Actively collaborates with the business intelligence team, business teams, project teams, and others to understand data requirements, integration needs, constraints, and performance requirements</li></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
Requirements</b></h3>
</div><div><ul><li>Bachelor's Degree in Computer or Data Science, Data Analytics, Statistics, or Information Management (Required)</li><li>
3 years in experience designing and building enterprise data lake (Required)</li><li>
5 years in experience designing and building an enterprise data warehouse (Required)</li><li>
5 years of experience in modern data platforms based on Azure including but not limited to Azure Data Lake, Azure Data Factory, Azure Databricks, Synapse Analytics (Required)</li><li>
Proficient in creating data factory pipelines; copy activity, custom Azure development, custom databricks development (Required)</li><li>
Experience with ELT and ETL processes (Required)</li><li>
Advanced SQL experience and organizing database for query performance (Required)</li><li>
Experience with one or more object-oriented programming languages such as Python, C#, Java or JavaScript (Required)</li><li>
Experience using big data file formats and compression techniques</li><li>
Experience with CI/CD processes and Azure DevOps</li><li>
Ability to effectively manage multiple and competing priorities in a dynamic and fast-paced environment</li><li>
Exceptional organizational skills</li><li>
Strong attention to detail</li><li>
Ability to work well with others inside as well as outside the organization</li><li>
Excellent verbal and written communication skills</li></ul></div></div></div><p><b>
BENEFITS</b></p><p>
At Sun Communities, you will be part of an industry-leading organization where you will be challenged, inspired, rewarded and transformed. We place a high priority on our team members, and this is a big part of what sets us apart. We will ask you to give us your very best every day, and will challenge you with interesting work, stretch assignments, a collaborative and supportive work environment and plenty of learning and growth. In exchange, we will reward you with great pay, advancement opportunities, paid time off, great benefits, and flexibility.</p><ul><li>
Comprehensive Medical and Prescription coverage with 4 plan options so you can choose the plan that best meets the needs of you and your family</li><li>
Comprehensive Dental and Vision Plans</li><li>
On-Site Fitness Center</li><li>
Voluntary Health and Dependent Care Reimbursement Accounts</li><li>
Life, Accidental Death &amp; Dismemberment Insurance and Dependent Life</li><li>
Short and Long-Term Disability Coverage</li><li>
401(k) Plan with Sun matching contribution</li><li>
Employee Assistance Program</li><li>
Identity Theft Insurance</li><li>
Legal Assistance Plan</li><li>
Pet Insurance</li><li>
Tuition Reimbursement program providing financial support to team members who further their formal education</li><li>
Vacation RV Site Discounts for team members when visiting SunRV Resorts across the nation</li><li>
Team Member Perks &amp; Discounts program with hundreds of discounts on things like travel, merchandise, mobile phone service, and more</li><li>
Up to six weeks of paid parental leave for the birth of a child, adoption, or placement of a child</li><li>
Paid Time Off including ten holidays, vacation, personal, sick time, bereavement and pay for jury duty</li></ul><p></p><div><p><br>
Apply for a <b>Corporate Headquarters (HQ) </b>position, located in the <b>Metro Detroit, Michigan </b>market today.</p><p>
Join our Talent Community and explore <b>Corporate Headquarters jobs</b> at Sun Communities.</p></div></div>

Blomal

<div>
 <strong>
  Senior Data Engineer &ndash; AI &amp; Financial Markets
 </strong>
 <p>
  <strong>
   Location:
  </strong>
  Jeddah, Saudi Arabia (On-site)
 </p>
 <p>
  <strong>
   Job Type:
  </strong>
  Full-time
 </p>
 <p>
  <br/>
 </p>
 <strong>
  About the Role
 </strong>
 <p>
  We are seeking a talented and motivated
  <strong>
   Senior Data Engineer with AI specialization
  </strong>
  to join our team in Jeddah. Focused on the Saudi capital markets, this role is critical to managing the complete lifecycle of our data and AI products. The ideal candidate will leverage extensive Google Cloud Platform (GCP) expertise and advanced Python skills to build scalable pipelines, develop predictive models, and deliver actionable market insights.
 </p>
 <p>
  <br/>
 </p>
 <strong>
  Key Responsibilities
 </strong>
 <p>
  <strong>
   Data Engineering &amp; Cloud Infrastructure
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Pipeline Development:
   </strong>
   Design, build, and maintain scalable, robust data pipelines for real-time and batch processing using GCP services (Pub/Sub, Dataflow, Data Fusion, BigQuery, Bigtable).
  </li>
  <li>
   <strong>
    ETL/ELT Optimization:
   </strong>
   Build and optimize high-performance ETL/ELT workflows utilizing Python.
  </li>
  <li>
   <strong>
    Serverless Processing:
   </strong>
   Utilize Cloud Functions and Cloud Run for efficient, serverless data processing.
  </li>
  <li>
   <strong>
    Infrastructure Management:
   </strong>
   Implement monitoring, logging, and alerting across the GCP infrastructure. Optimize cloud resource usage for cost efficiency and high performance.
  </li>
  <li>
   <strong>
    Data Governance:
   </strong>
   Enforce data quality, security, and compliance standards using Dataplex, Cloud Data Catalog, and IAM controls.
  </li>
 </ul>
 <p>
  <strong>
   AI &amp; Machine Learning
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Model Development:
   </strong>
   Develop and deploy AI/ML models for predictive analytics, forecasting, and market trend analysis.
  </li>
  <li>
   <strong>
    Advanced Processing:
   </strong>
   Perform feature engineering and preprocessing using Vertex AI Workbench, Data Refinery, and Python libraries (TensorFlow, PyTorch, scikit-learn, Pandas).
  </li>
  <li>
   <strong>
    Product Lifecycle:
   </strong>
   Manage the complete lifecycle of AI products, from design and development to deployment, maintenance, and continuous evaluation.
  </li>
 </ul>
 <p>
  <strong>
   Market Data Analysis &amp; Integration
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    API Management:
   </strong>
   Integrate and manage data APIs from third-party financial service providers, automating extraction, transformation, and loading workflows.
  </li>
  <li>
   <strong>
    Market Intelligence:
   </strong>
   Analyze structural and unstructured market data for the Saudi stock markets (main and parallel).
  </li>
  <li>
   <strong>
    Data Visualization:
   </strong>
   Build comprehensive dashboards, reports, and visualizations using Looker, Tableau, or Power BI to provide actionable insights to stakeholders.
  </li>
 </ul>
 <p>
  <strong>
   Project Management &amp; Collaboration
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Project Leadership:
   </strong>
   Lead projects from initiation to completion, ensuring timely delivery and alignment with core business goals.
  </li>
  <li>
   <strong>
    Vendor Relations:
   </strong>
   Manage relationships with external vendors for API integrations, data feeds, and system enhancements.
  </li>
  <li>
   <strong>
    Cross-Functional Communication:
   </strong>
   Collaborate effectively with internal stakeholders and cross-functional teams to ensure seamless system integration.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <strong>
  Requirements &amp; Qualifications
 </strong>
 <p>
  <strong>
   Education &amp; Experience
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Education:
   </strong>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI, Finance, or a related field.
  </li>
  <li>
   <strong>
    Experience:
   </strong>
   2+ years of dedicated experience in data engineering, AI/ML engineering, or related cloud roles.
  </li>
  <li>
   <strong>
    Project Leadership:
   </strong>
   Demonstrated success in leading end-to-end project execution and product lifecycle management.
  </li>
 </ul>
 <p>
  <strong>
   Technical Skills
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Programming:
   </strong>
   Strong scripting and programming skills in Python (hands-on with Pandas and NumPy) and SQL.
  </li>
  <li>
   <strong>
    Cloud Computing:
   </strong>
   Proven expertise with GCP (BigQuery, Dataflow, Pub/Sub, Vertex AI, Cloud Storage).
  </li>
  <li>
   <strong>
    AI/ML:
   </strong>
   Knowledge of machine learning models, statistical analysis, and frameworks like TensorFlow and scikit-learn.
  </li>
  <li>
   <strong>
    DevOps:
   </strong>
   Familiarity with CI/CD pipelines and containerization tools (Docker, Kubernetes).
  </li>
  <li>
   <strong>
    BI &amp; Analytics:
   </strong>
   Proficiency in data analytics environments (e.g., Jupyter Notebook) and visualization tools (Tableau, Power BI, Looker).
  </li>
 </ul>
 <p>
  <strong>
   Domain Knowledge &amp; Soft Skills
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Financial Expertise:
   </strong>
   In-depth knowledge of Saudi stock markets (Tadawul and Nomu), financial data sources, economic indicators, and market dynamics is a strong advantage.
  </li>
  <li>
   <strong>
    Communication:
   </strong>
   Excellent organizational, project management, and communication skills.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <strong>
  Logistics &amp; Availability
 </strong>
 <ul>
  <li>
   <strong>
    Location:
   </strong>
   Candidates must currently reside in Jeddah or be able to relocate independently.
  </li>
  <li>
   <strong>
    Availability:
   </strong>
   Must be available to join immediately.
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


Acuity Inc.

<div>Overview:<div></div><div><br>
Acuity, Inc. seeks a <b>Senior Data Engineer</b> to lead the design, development, and optimization of modern data pipelines and analytics solutions supporting a federal client. This role builds and maintains robust data integration, ETL/ELT, and analytic processing capabilities across the data warehouse, data lake, and analytics platform environment.</div><div></div><div><br>
The Senior Data Engineer provides hands-on technical leadership across data engineering, platform design, and advanced analytics enablement. This individual drives data quality, performance, scalability, security, and operational reliability while supporting adoption of new data technologies and delivery of Big Data, Advanced Analytics, and Machine Learning solutions.</div><div></div><div><br>
Why Acuity?</div><div></div><div><br>
We&rsquo;re building more than careers&mdash;we&rsquo;re building a place people genuinely love to work. At Acuity, you&rsquo;ll get:</div><ul><li>Strong work-life balance and a people-first culture</li><li>Competitive compensation + Health/Dental/Vision coverage</li><li>401(k) with company match</li><li>Up to $6,000/year for training &amp; professional development</li></ul><div></div><div><br>
 Recognized as a <i>Best Places to Work</i> (Washington Business Journal, 8+ years)<br>
 Named a <i>Top Workplace</i> by The Washington Post (2022&ndash;2025)</div><div></div><div><br>
Ready to grow with a team that invests in you? Learn more: www.myacuity.com</div>
Why Acuity?: Are you ready to use your expertise in the areas of IT Modernization, Data Enablement, and Hyperautomation to make a real difference? Join Acuity, Inc., a technology consulting firm that supports federal agencies. We combine industry partnerships and long-term federal experience with innovative technical leadership to support our customers&rsquo; critical missions. Responsibilities:
<ul><li>Design, develop, and maintain scalable data pipelines, ETL/ELT processes, and data integration solutions</li><li>
Build and optimize data workflows across data warehouse, data lake, and analytics platforms</li><li>
Lead ingestion, transformation, curation, and delivery of structured, semi-structured, and unstructured data</li><li>
Implement data quality checks, validation rules, and monitoring across pipelines and datasets</li><li>
Improve performance, scalability, reliability, and security of data processing solutions</li><li>
Develop reusable engineering patterns, frameworks, and best practices</li><li>
Support cloud-based data platform development, with strong emphasis on <b>Databricks</b> and related cloud services</li><li>
Collaborate with engineers, analysts, architects, and stakeholders to translate requirements into technical solutions</li><li>
Support design and delivery of <b>Big Data, Advanced Analytics, and Machine Learning</b> use cases</li><li>
Provide technical leadership through code reviews, troubleshooting, standards development, and mentoring</li><li>
Evaluate and apply new data technologies that improve capability, efficiency, or maintainability</li><li>
Maintain technical documentation for pipelines, transformations, data flows, and engineering standards</li></ul>
Qualifications:
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field</li><li><b>
8+ years of experience</b> developing and coding software or data engineering solutions</li><li>
Strong hands-on experience with <b>Databricks</b> and cloud-based data technologies</li><li>
Strong experience building and maintaining large-scale <b>ETL/ELT pipelines</b> and data integration solutions</li><li>
Experience supporting data warehouse, data lake, and analytics platform architectures</li><li>
Strong programming skills in <b>Python, Scala, SQL</b>, or similar data engineering languages</li><li>
Experience optimizing data workflows for performance, reliability, and scalability</li><li>
Experience implementing data quality, security, and operational controls in production environments</li><li>
Ability to support advanced analytics and machine learning delivery from a data engineering perspective</li><li>
Strong problem-solving skills and ability to work effectively across cross-functional technical teams</li></ul><div></div><div><b><br>
Preferred Qualifications</b></div><ul><li>
Experience with distributed data processing frameworks such as <b>Apache Spark</b></li><li>
Experience supporting <b>Big Data</b> and <b>Advanced Analytics</b> platforms in cloud environments</li><li>
Experience enabling or supporting <b>Machine Learning</b> workflows and feature or training data pipelines</li><li>
Experience with <b>CI/CD, automation, and deployment practices</b> for data platforms</li><li>
Experience with cloud-native data services in <b>AWS</b> or similar environments</li><li>
Experience mentoring engineers and establishing engineering standards</li></ul><div></div><div><b><br>
Preferred Certifications</b></div><ul><li>
AWS Certified Machine Learning &ndash; Specialty</li><li>
Data Science Council of America (DASCA) certifications</li><li>
Databricks Certified Machine Learning Associate</li><li>
Databricks Certified Developer for Apache Spark</li><li>
Databricks Certified Data Engineer Associate</li><li>
Databricks Certified Data Engineer Professional</li><li>
AWS Certified Data Analytics &ndash; Specialty</li><li>
Python or Scala programming certification</li></ul><div></div><div><b><br>
Clearance Requirement</b></div><ul><li>
Must be a <b>U.S. Citizen</b> with the ability to obtain and maintain <b>U.S. suitability</b></li></ul><div></div><div><b><br>
About Acuity</b></div><div>
At Acuity, your work matters&mdash;and so does your experience. We&rsquo;re a management and technology consulting firm supporting critical federal missions, where you&rsquo;ll have the opportunity to solve meaningful challenges, work alongside high-performing teams, and make a real impact from day one.</div><p></p><div><b><br>
Why You&rsquo;ll Love Working Here:</b></div><div></div><div><b><br>
Grow Your Career, Your Way</b><br>
We invest in you with personalized development plans, mentorship, and up to $6,000 annually for training and certifications&mdash;so you can keep building the career you want.</div><div></div><div><b><br>
Be Part of Something Innovative</b><br>
You&rsquo;ll work on cutting-edge solutions that support important government missions, in an environment that encourages new ideas and continuous improvement.</div><div></div><div><b><br>
Thrive in a People-First Culture</b><br>
Collaboration, respect, and support aren&rsquo;t just values&mdash;they&rsquo;re how we operate. Your voice is heard, your contributions are recognized, and your success is shared.</div><div></div><div><b><br>
Feel Valued and Rewarded</b><br>
We offer competitive compensation, comprehensive benefits, and a strong focus on work-life balance so you can perform at your best&mdash;at work and at home.</div><div></div><div><b><br>
Join an Award-Winning Team</b><br>
Our employees consistently rank us among the best&mdash;earning honors like <i>Best Places to Work</i> (Washington Business Journal, 9+ years) and <i>Top Workplaces</i> (The Washington Post, 2022&ndash;2025).</div><div></div><div><b><br>
Bring Your Whole Self to Work</b><br>
We&rsquo;re committed to building a diverse, inclusive environment where everyone feels respected, supported, and empowered to succeed.</div><p></p><div><b><br>
Make Your Impact</b></div><div>
Join Acuity and be part of a team where your ideas are valued, your growth is supported, and your work drives meaningful outcomes.</div><div>
Learn more: www.myacuity.com</div><p></p><div><i><br>
Acuity is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</i></div><div></div><div><b><br>
Recruiting Scams and Fraud</b></div><div>
Acuity Inc. has been made aware of fraudulent job postings and individuals impersonating company recruiters. These scams may include fake job offers, requests for sensitive personal information, or demands for payment.</div><div></div><div><br>
Please note:</div><ul><li><b>
Acuity never asks candidates to pay</b> for job applications, equipment, or training.</li><li><b>
All official communications</b> will come from an <b>@myacuity.com</b> email address.</li><li>
If you are unsure about a job posting or recruiter, please verify the opportunity on our <b>Careers page</b>.</li></ul><div>
If you believe you have been targeted by a scam or have concerns about the authenticity of a job listing claiming to represent Acuity Inc., please contact us at<b> careers@myacuity.com</b>. Protecting your security and trust is important to us.</div></div><div></div>

Systems Planning and Analysis, Inc. (SPA)

<div>Overview:
<div>
Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we are known for continuous innovation for our government customers, in both the US and abroad. Our exceptionally talented team is highly collaborative in spirit and practice, producing <i>Results that Matter</i>. Come work with the best! We offer opportunity, unique challenges, and clear-sighted commitment to the mission. SPA: Objective. Responsive. Trusted.</div><div><br>
</div><div>As a <b>Senior Data Engineer</b>, you will design, build, and operate enterprise data pipelines and data models that transform operational data into secure, trusted, and accessible data products. This position works closely with Finance, Accounting, HR, Business Development, and SPA&rsquo;s client‑facing business units - requiring strong communication skills to translate technical concepts into clear, actionable information for diverse stakeholders.</div>
Responsibilities:
<div><b>
Data Engineering &amp; Architecture</b></div><ul><li>
Design, develop, and maintain scalable data pipelines and workflows across enterprise systems.</li><li>
Build well‑structured data models, semantic layers, and curated datasets aligned with business needs.</li><li>
Implement data quality, observability, and reliability controls to ensure accuracy and auditability.</li></ul><div><b>
Integration, MDM &amp; Platform Operations</b></div><ul><li>
Engineer integrations that synchronize master data across SPA systems.</li><li>
Partner with enterprise platform teams to leverage SPA‑approved middleware, MDM, and Azure services.</li><li>
Implement CI/CD, IaC, and automation to manage data environments and deployments.</li></ul><div><b>
Communication &amp; Cross‑Functional Collaboration</b></div><ul><li>
Translate complex data engineering topics into clear, plain‑language explanations for business, technical, and executive audiences.</li><li>
Work directly with stakeholders to understand data needs, document requirements, and communicate technical impacts.</li><li>
Act as a trusted partner to business units, collaborating on reporting, analytics, and process‑improvement initiatives.</li><li>
Provide clear written documentation, diagrams, and briefings that support data governance, solution design, and adoption.</li></ul><div><b>
Security, Governance &amp; Compliance</b></div><ul><li>
Implement secure data access patterns, encryption, retention, and lineage in alignment with SPA cybersecurity and compliance requirements.</li><li>
Support enterprise data governance practices and contribute to standardized data policies and definitions.</li></ul><div><b>
BI &amp; Analytics Enablement</b></div><ul><li>
Partner with analysts to deliver high‑quality, consumption‑ready datasets for reporting tools.</li><li>
Provide guidance on data modeling, semantic layers, and best practices for BI enablement.</li></ul><div><b>
Continuous Improvement</b></div><ul><li>
Contribute to engineering standards, patterns, and documentation.</li><li>
Mentor junior engineers and analysts in engineering practices and communication techniques.</li></ul>
Qualifications:
<div><b>
Required</b></div><ul><li>
Bachelor&rsquo;s degree in computer science, Information Systems, Data Science, or related field.</li><li>
7+ years of experience building production‑grade data pipelines and data models on modern cloud platforms.</li><li>
Experience supporting BI environments and semantic modeling (e.g., Power BI).</li><li>
Experience with data warehousing, Lakehouse architectures, ETL/ELT patterns, and data quality frameworks.</li><li>
Demonstrated ability to explain technical concepts clearly and concisely to non‑technical audiences.</li><li>
Experience with MDM tools, middleware integrations, or enterprise master data synchronization.</li><li>
Experience with Azure data services, orchestration tools, and enterprise analytics platforms.</li><li>
Excellent communication skills - written, verbal, and visual - with the ability to tailor messaging to executives, business users, and engineering peers.</li><li>
Proven record of effective collaboration with cross‑functional stakeholders.</li></ul><div><b>
Preferred</b></div><ul><li>
Background in government‑contracting or regulated environments.</li><li>
Good SQL skills and proficiency in a programming language such as Python or Scala.</li><li>
Exposure to process engineering and change‑management practices.</li></ul></div>

CERTIFID

<div><div>Cybercrime is rising, reaching record highs in 2024. According to the FBI's IC3 report total losses exceeded $16 billion. With investment fraud and BEC scams at the forefront, the message is clear: the real estate sector remains a lucrative target for cybercriminals. At CertifID, we take this threat seriously and provide a secure platform that verifies the identities of parties involved in transactions, authenticates wire transfer instructions, and detects potential fraud attempts. Our technology is designed to mitigate risks and ensure that every transaction is conducted with confidence and peace of mind.</div><div></div><div><br>
We know we couldn&rsquo;t take on this challenge without our incredible team. We have been recognized as one of the Best Startups to Work for in Austin, made the Inc. 5000 list, and won Best Culture by Purpose Jobs two years in a row. We are guided by our core values and our vision of a world without wire fraud. We offer a dynamic work environment where you can contribute to meaningful impact and be part of a team dedicated to enhancing security and fighting fraud.</div><div></div><div><br>
As a Senior Data Engineer, you&rsquo;ll own the systems that turn raw data into trusted insights across the company. You&rsquo;ll partner closely with Product, Finance, Sales, and Customer Success to ensure our data platform scales with the business and directly supports decision-making.</div>
<h3 class="jobSectionHeader"><b>What You'll Do</b></h3><ul>
<li>Design, build, and maintain trusted, scalable data models that power reporting, analytics, and product insights</li>
<li>Own the evolution of our data platform, unifying analytics tooling and fully replacing legacy admin and ad-hoc reporting</li>
<li>Develop and maintain robust ELT pipelines, transformations, and data stores that serve as the source of truth for billing, revenue, usage, and customer success workflows</li>
<li>Apply strong data modeling and warehousing principles to create analytics-optimized tables that are well-documented and easy to use</li>
<li>Partner with stakeholders to understand business questions, translate them into data models, and educate teams on how to operationalize analytics effectively</li>
<li>Proactively identify opportunities to improve reporting or data reliability and build proof-of-concepts to validate solutions with the business</li>
<li>Write high-quality, secure, maintainable, and testable production code, following best practices and thoughtful tradeoffs</li>
<li>Contribute to a culture of craftsmanship through code reviews, documentation, and continuous improvement</li>
<li>Balance speed and quality, delivering quickly while building systems that scale with the company</li>
<li>Adapt to a wide range of challenges, learning new tools and skills as needed in a fast-moving environment</li>
</ul><h3 class="jobSectionHeader"><b>What We're Looking For</b></h3><ul>
<li>3+ years of professional experience in data engineering, analytics engineering, business intelligence, or a closely related role</li>
<li>Strong SQL skills and hands-on experience with data modeling for analytics use cases</li>
<li>Experience building and maintaining production data pipelines, transformations, and warehouses in a cloud-based environment</li>
<li>Comfort working with self-service BI and analytics tools, enabling non-technical stakeholders to answer their own questions</li>
<li>A hybrid mindset: you can think like a software engineer while deeply understanding analytical and business requirements</li>
<li>Experience supporting SaaS metrics such as revenue, usage, billing, or customer health reporting</li>
<li>Strong understanding of data warehousing concepts (fact/dimension modeling, performance optimization, data quality)</li>
<li>Proven ability to deliver quickly without compromising technical quality</li>
</ul><h3 class="jobSectionHeader"><b>What Sets You Apart</b></h3><ul>
<li>You take ownership and accountability for outcomes, not just implementations</li>
<li>You care deeply about data correctness, clarity, and trust</li>
<li>You enjoy collaborating cross-functionally and explaining complex concepts in plain language</li>
<li>You&rsquo;re energized by building systems from imperfect inputs and evolving them as the business grows</li>
</ul><h3 class="jobSectionHeader"><b>What We Offer</b></h3><ul>
<li>Flexible vacation</li>
<li>12 company-paid holidays</li>
<li>10 paid sick days</li>
<li>No work on your birthday</li>
<li>Health, dental, and vision Insurance (including a $0 option)</li>
<li>401(k) with matching, and no waiting period</li>
<li>Equity</li>
<li>Life insurance</li>
<li>Generous parental paid leave</li>
<li>Wellness reimbursement of $300/year</li>
<li>Remote worker reimbursement of $300/year</li>
<li>Professional development reimbursement</li>
<li>Competitive pay</li>
<li>An award-winning culture</li>
</ul><div>Not sure if you check all the boxes? Apply anyway!</div><div></div><div><br>
We know that great talent comes in many forms, and we value potential just as much as experience. If you're excited about this role and believe you can grow into it, we&rsquo;d love to hear from you. We&rsquo;re looking for people who are eager to learn, adapt, and solve challenges&mdash;so if that sounds like you, don&rsquo;t let a checklist hold you back!</div><div></div><div><br>
Change doesn't happen overnight, and the same goes for us here at CertifID. We evolve collectively and individually as we grow by leaning into the core values that define us. As we grow, we embody <b>GRIT</b>&mdash;collectively and individually&mdash;to raise the bar and influence outcomes in everything we do. <b>Guard the Customer - Raise the Bar - Influence Outcomes - Teamwork Wins</b></div><div></div><div><br>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Atos

<div>
 <strong>
  About Atos
  <br/>
  <br/>
 </strong>
 Atos is a global leader in digital transformation with c. 78,000 employees and annual revenue of c. &euro; 10 billion. European number one in cybersecurity, cloud and high-performance computing, the Group provides tailored end-to-end solutions for all industries in 68 countries. A pioneer in decarbonization services and products, Atos is committed to a secure and decarbonized digital for its clients. Atos is a SE (Societas Europaea) and listed on Euronext Paris.
 <br/>
 <br/>
 The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.
 <br/>
 <br/>
 <strong>
  Senior Data Engineer
  <br/>
  <br/>
 </strong>
 We are looking for a talented Data Engineer to join our team and play a pivotal role in transforming our data ecosystem. The ideal candidate will have extensive experience in handling data from diverse business areas and managing data sources from a range of commercial and custom tools. They should be proficient in data engineering technologies, including Snowflake, Talend (or similar ETL tools), and bring expertise in Python, dbt, and Airflow. Familiarity with API integrations and experience with Tableau or other data visualization tools would be an advantage.In this role, you will also work directly with business stakeholders, running workshops to gather requirements and convert them into actionable data solutions. Experience working in an agile environment is essential.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Design, develop, and maintain ETL pipelines to extract, transform, and load data from various sources into our data warehouse.
 <br/>
 <br/>
 Collaborate with Data Analytics Product Owner and business stakeholders to understand data requirements and offer recommendations to improve data collection, processing, and analysis.
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 <br/>
 Build and maintain data models to enable efficient SQL-based reporting and analysis.
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 <br/>
 Implement data workflows and transformations using dbt, and orchestrate data pipelines with Airflow.
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 <br/>
 Develop and maintain data integrations via APIs where necessary.
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 Monitor, troubleshoot, and optimize data pipeline performance to ensure data accuracy, reliability, and availability.
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 Collaborate with data engineers, data scientists, and analysts to develop data-driven solutions that drive business outcomes.
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field.
 <br/>
 <br/>
 5+ years of experience in data engineering.
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 <br/>
 Proficiency with data management tools like Snowflake, Talend, or similar ETL tools.
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 Strong experience with Python, dbt, and Airflow.
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 Solid understanding of SQL and database design.
 <br/>
 <br/>
 Knowledge of API integrations.
 <br/>
 <br/>
 Experience with Tableau or other data visualization tools (nice to have).
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 <br/>
 Demonstrated ability to work independently and within a collaborative team environment.
 <br/>
 <br/>
 Strong analytical and problem-solving skills.
 <br/>
 <br/>
 Excellent communication and interpersonal skills.
 <br/>
 <br/>
 English fluency is required; proficiency in French is a plus.
 <br/>
 <br/>
 Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.
 <br/>
 <br/>
 Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.
 <br/>
 <br/>
 <strong>
  Choose your future. Choose Atos.
 </strong>
</div>


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