data engineering consultant

JourneyTEAM

<div><p>Our Data Engineering practice is growing! JourneyTeam is looking for a hungry, humble, and smart Senior Data Engineer Consultant to join our world-class team and continue building out our best-in-class solutions. If you are ready for growth, love designing and building Microsoft data solutions and have a passion for helping people and businesses, we would love to hear from you!</p>
<p><b>
About JourneyTeam</b>
</p><p>JourneyTeam helps companies implement business solutions and improvements through Microsoft technologies. JourneyTeam is an award-winning Microsoft Partner specializing in all three Microsoft Clouds: Modern Workplace, Microsoft Azure, and Microsoft Business Applications, including Microsoft Dynamics 365, Power Platform and Data+A/I.
</p><p><b>The Opportunity</b>
</p><p>The Senior Data Engineer Consultant plays a pivotal role in driving technical excellence and business value for our clients. Critical aspects of this role entail the ability to discover business requirements and work alongside our clients as you architect and implement modern data engineering solutions within the Microsoft ecosystem. You will also mentor others and lead the solution design and build process as you meet client expectations and project scope.
</p><p><b>Key Responsibilities</b>
</p><ul><li>Help set vision, strategy and roadmap for JourneyTeam data engineering. Incorporate both Microsoft and industry best practices.
</li><li>Architect and implement enterprise data strategies that align with client objectives including analytics, migrations and data integrations.
</li><li>Collaborate with cross-functional teams, including business intelligence developers, Azure cloud administrators, business analysts, and others, to develop comprehensive data solutions.
</li><li>Develop &ldquo;best-in-class&rdquo; data engineering solutions that provide data quality, reliability, automation, notification, scalability, modularity, security.
</li><li>Design, develop, and optimize complex dimensional models for reporting (star schemas).
</li><li>Lead out on design sessions with client teams, conduct workshops and training both internally and externally, including webinars.
</li><li>Lead and mentor data engineers, provide technical guidance, share best practices, and foster a culture of continuous learning and growth.
</li><li>Go-to resource for understanding client problems and responding with appropriate methods anchored around best practice, repeatable patterns, and &ldquo;crush-it&rdquo; mentality.
</li><li>Diagramming and documentation champion.
</li><li>Excellent leadership, communication, and project management skills.
</li></ul><p><b>Required Qualifications:</b>
</p><ul><li>Proven track record with at least 7+ years hands-on experience in data engineering, preferably within the Microsoft ecosystem.
</li><li>3+ years&rsquo; experience working with Azure technologies, such as Data Factory, ADLS, Azure Databricks, Spark, Synapse Analytics, Azure SQL Database, Fabric.
</li><li>Advanced SQL skills. Solid understanding of relational databases, transform logic and dimensional modeling techniques. Ability to write complex SQL.
</li><li>Architectural design and experience building data orchestration and pipelines using metadata driven techniques.
</li><li>Experience with connecting to and ingesting from API sources, including using OAuth 2. Additionally, experience with standardizing and/or flattening and/or normalizing JSON to a flavor of SQL structure.
</li><li>In-depth understanding and practical application of modern data and security architecture principles, combining the best of data lakes and data warehouses for robust and scalable data management.
</li><li>Successful management of data engineering projects, including planning, execution, and delivery.
</li><li>Demonstrated ability to take ownership and responsibility of critical issues and provide resolution. Strong problem-solving and decision-making abilities as well as excellent collaboration skills.
</li><li>Ability to create great rapport with client teams and exercise a knack for driving the adoption of data strategies that move the needle in improving business outcomes.
</li><li>The ideal team member is an analytical problem solver with extensive technical expertise, a deep understanding of data engineering concepts, and a passion for modern data lakehouse technologies.
</li><li><i>Embrace and live the JourneyTeam Values:</i>
<ul><li><i>A Caring Mindset</i>
</li><li><i>Exceptional Performance</i>
</li><li><i>Being OneTeam</i>
</li><li><i>Making &amp; Keeping Commitments</i>
</li><li><i>Taking Ownership</i>
</li><li><i>Effective Communication</i>
</li><li><i>A Growth Mindset</i>
</li></ul></li></ul><p></p><p><b>Nice To Have (Not Required)</b>
</p><ul><li>Bachelor&rsquo;s or master&rsquo;s degree in computer science, informatics, data science or related technical discipline.
</li><li>Experience dealing with high-volume and high-velocity data streams and designing systems that can handle the demands of real-time or near-real-time analytics.
</li><li>Azure Databricks experience.
</li><li>Relevant industry certifications, especially Microsoft.
</li></ul><p></p><p><b>Here at JourneyTeam, we care about our employee&rsquo;s growth. Here is what success looks like your first year:</b>
</p><p><b>30 Days:</b>
</p><ul><li>Read and review &ldquo;The Data Warehouse Toolkit&rdquo; by Ralph Kimball
</li><li>Participate and contribute to group training plan
</li><li>Shadow other data engineers to learn the implementation process and tasks required throughout our projects.
</li><li>Be assigned to a project and support tasks.
</li></ul><p><b>90 Days:</b>
</p><ul><li>Independently own, architect and implement customer solutions.
</li><li>Build data standards and templates and train team on value and adoption.
</li></ul><p><b>6 months:</b>
</p><ul><li>Fully involved in project and support efforts and be a contributing member of project teams and long-term client support
</li><li>Achieve a Microsoft certification
</li><li>Achieve a 75% customer engagement rate by the beginning of six-month period.</li>
</ul><h4 class="jobSectionHeader"><b>Compensation:</b></h4>
<p>
The base salary range for this role is $126,500 &ndash; $160,000 + performance-based bonus program. Eligibility and payout are tied to individual contributions, team performance, and company success.</p>
<p><i>
This is the established pay range for the Senior Data Engineer roles at JourneyTeam on the Data &amp; AI Solutions Practice. Final compensation is dependent on demonstrated skills, relevant experience, and alignment with the role&rsquo;s responsibilities. In general, new employees can expect to start at the lower end of the range (with opportunity to grow and expand within the organization)</i></p>
<h4 class="jobSectionHeader"><b>
Benefits:</b></h4>
<p>
JourneyTeam offers a wide range of excellent benefits, including comprehensive healthcare and dental coverage, as well as a 401(k) with an approximate 4% employer match&mdash;with immediate vesting. We offer flexible time off, with employees averaging 3.75 weeks per year, and provide paid maternity and paternity leave.</p>
<p>
Additional perks include a monthly phone stipend (or the option to join our corporate phone plan) and a monthly gym membership reimbursement of up to $200.</p>
<p>
JourneyTeam is an Equal Opportunity Employer. This position is not open to C2C, H1B sponsorships, or third-party agencies.</p></div>

Senior Data Engineer

Torq

<div><p>Are you driven by the challenge of turning complex data into actionable insights? Do you thrive on building scalable data systems that power better decisions and real business impact? If you're ready to lead with purpose and bring data to life, Torq is the place for you.</p>
<p>
We are looking for data engineers and technical leaders who don't just build pipelines and create dashboards&mdash;they design systems that solve real business challenges and influence key strategic decisions for our clients.</p>
<p>
At<b> </b>Torq, you'll join a collaborative team that takes on complex, high-impact projects. You'll guide clients through the full data lifecycle&mdash;from raw ingestion to advanced analytics&mdash;and help them unlock the full potential of their data ecosystem.</p>
<p><b>
What You Could Be Doing</b></p>
<p>
While every project we work on is different, below is a high-level overview of some of the responsibilities/hats you may wear:</p>
<ul>
<li>Build strong relationships with data consumers to understand usage patterns and design intuitive, scalable data models.</li>
<li>Design, develop, and deliver high-quality data pipelines that align with privacy, governance, and performance best practices.</li>
<li>Build both real-time and batch data integrations from a variety of source systems into cloud-based data lakes and warehouses.</li>
<li>Develop and maintain ETL/ELT processes and tools to support both streaming and offline analytics.</li>
<li>Define and implement key performance indicators (KPIs) to measure the efficiency, quality, and reliability of data engineering processes.</li>
<li>Participate in code reviews, promoting clean, maintainable, and well-documented code aligned with engineering best practices.</li>
<li>Create and maintain data definitions and metadata consistent with data management standards.</li>
<li>Provide operational support for data integration and transformation workflows in production environments.</li>
</ul>
<p><b>What You Bring to the Table</b></p>
<p>
When you join our team, you're a consultant first. This means there are core skills we expect out of each of our team members. These include:</p>
<ul>
<li>Bachelor's degree in Data Science, Computer Science, Information Systems, Engineering, or a related field</li>
<li>8+ years of hands-on experience in data warehousing, ETL development, and data modeling (both conceptual and physical) or other related technical &amp; analytical work</li>
<li>Willingness to work a hybrid schedule (2-3 days per-week onsite)</li>
<li>Data acquisition &amp; sourcing: APIs, flat files, event streams</li>
<li>Solid experience with ETL/ELT pipeline development, scripting automation, including performance optimization &amp; data quality assurance
<ul><li>Tools like: Python, SQL, Apache Airflow, dbt, Kafka, Terraform, etc.</li>
</ul></li><li>Strong understanding of data architecture, schema design, normalization/denormalization, and data lifecycle management
<ul><li>Cloud data platforms: Azure Data Services (preferred), AWS, or Google Cloud Platform</li>
<li>Data Warehousing: Synapse, Snowflake, BigQuery, Redshift, etc.</li>
</ul></li><li>Proficient in Reporting Platforms to query large data sets
<ul><li>Ex: PowerBI, Tableau, Looker, or similar tools</li>
</ul></li><li>Familiarity with data governance security, and compliance best practices (Collibra, Unity Catalog, Purview)</li>
<li>Strong Snowflake and Python data engineering experience with hands-on pipeline development</li>
<li>Proficient in SQL and experienced in designing efficient queries for large-scale data sets</li>
<li>Strong communication skills and the ability to collaborate with both technical and non-technical stakeholders</li>
</ul>
<p><b>In addition, each one of our consultants brings a unique and valuable toolbox of skills with them specific to their practice. Below are some examples of skills we are always looking to add to the team (don't worry &ndash; we don't expect you to have all of them, but they are always a plus!):</b></p>
<ul>
<li>Experience with CI/CD pipelines for data solutions using tools like GitHub Actions, Azure DevOps, or Jenkins</li>
<li>Exposure to Power BI or other BI tools for data visualization and reporting</li>
<li>Experience with Delta Lake, Data Mesh, or Lakehouse architectures</li>
<li>Familiarity with Databricks on Azure</li>
</ul>
<p><b>Benefits and Other Fun Stuff:</b><br>
<br>
We ask our consultants to be superstars, so we treat them like it. Even better, our perks are designed for employees by our employees. We do this because we believe in delivering a compelling benefits package that puts you at the heart of our rewards.</p>
<ul>
<li>Competitive Salary &ndash; your bank account will be smiling</li>
<li>Unlimited PTO &ndash; we're serious about that work-life balance thing</li>
<li>Best-in-class health/vision/dental benefits &ndash; your health is our priority</li>
<li>Generous 401K options &ndash; take care of your future with us</li>
<li>Paid Parental Leave - supporting you during life's biggest milestones</li>
<li>Opportunity to be a key player at a highly reputable, fast-growing consulting firm</li>
<li>High degree of internal mobility and diverse project opportunities</li>
</ul>
<p><i>The salary range for this position considers multiple factors influencing compensation decisions, such as skillset, previous experience, certifications, and various business &amp; organizational requirements. Being hired at or near the top of the range for this role is uncommon, as compensation determinations rely on individual circumstances. Currently, the base salary range is estimated to be between $130,000 and $170,000.</i></p><div><p><i>
Torq is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.</i></p>
<ul><li><i>Note: No visa sponsorship is available for this position, all applicants must be currently authorized to work in the United States for any employer.</i></li></ul></div></div><p></p>

Principal Consultant - Data Engineer

BLACKBUCK iNSIGHTS

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Industry</p>
<div><b>IT Services</b><b>
</b></div></div><div><p>Date Opened</p>
<div><b>03/16/2026</b><b>
</b></div></div><div><p>Job Type</p>
<div><b>Full time</b><b>
</b></div></div><div><p>Work Experience</p>
<div><b>2-5 years</b><b>
</b></div></div><div><p>City</p>
<div><b>Vienna</b><b>
</b></div></div><div><p>State/Province</p>
<div><b>McLean</b><b>
</b></div></div><div><p>Country</p>
<div><b>United States</b><b>
</b></div></div><div><p>Zip/Postal Code</p>
<div><b>22102</b><b>
</b></div></div></ul></div><div><h3 class="jobSectionHeader"><b>About Us</b></h3>
<div><div>BBI is a global data engineering consulting firm that empowers clients to effectively scale and modernize. We combine engineering fundamentals and innovative tools to execute business-critical, end-to-end projects on-time and on-budget. We offer expert services across Data Integration, Data Modernization, Data Migration, Data Architecture, Platform Support, and Application Services. Our goal is to provide business value in the most effective way for our clients so clients can focus on growth.<br>
<br>
</div></div><p></p><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><div><div><b>Job Duties:</b><br>
- Develop, deploy, and maintain robust data pipelines and ETL processes using Data bricks and PySpark to ingest, process, and transform enterprise‑grade large‑scale datasets.<br>
<ul><li>Design and implement data integration workflows and orchestration using Azure Data Factory to automate data movement across diverse sources and destinations.</li><li>Monitor, troubleshoot, and enhance data pipeline performance (optimize for cost as well), ensuring data quality, security, and compliance with organizational standards.</li><li>Integrate data solutions with Client&rsquo;s DQ framework.</li><li>Experience with developing and executing unit test cases/SIT cases and test plans in ADO or a testing tool.</li><li>Support with resolution of UAT defects.</li><li>Develop reports and dashboards using PowerBI.</li></ul><br>
<br>
</div></div><br>
<h3 class="jobSectionHeader"><b>Requirements</b></h3><div><ul><li><br>
1‑5 years of experience in data engineering or related roles.</li><li>Proficiency in Data bricks, PySpark, and Azure Data Factory.</li><li>Strong ETL and data pipeline development skills.</li><li>Experience with large‑scale data processing and cloud technologies.</li><li>Knowledge of data quality and testing frameworks.</li></ul>
<br>
<b>Nice‑to‑Haves:</b><br>
<ul><li>Experience with PowerBI or other BI tools.</li><li>Familiarity with Agile/DevOps practices and ADO.</li></ul></div></div></div></div><p></p>

Data Engineer

West Monroe

<div><div><p><b>Are you ready to make an impact?</b></p></div><div><p>
West Monroe is looking for a <b>Senior Data Engineer</b><b>,</b> to work with our clients to solve technology needs with expertise in <b>Databricks or Snowflake</b>. This is an exciting opportunity to work within our Technology and Experience practice and project teams to deliver impact for our clients in data engineering and cloud solutions.</p>
<p><b>
Responsibilities</b><b>:</b></p>
<ul>
<li>Collaborate closely with product teams to deliver impact</li>
<li>Implement advanced data engineering strategies leveraging Databricks and/or Snowflake platform capabilities</li>
<li>Work on complex, large-scale data transformation initiatives for enterprise clients</li>
<li>Understanding customer objectives, goals and challenges to engineer innovative solutions</li>
<li>Create and evangelize innovative architectural patterns and reusable solution frameworks</li>
<li>Mentor and develop a high-performing team of data engineering professionals</li>
<li>Implement advanced data solutions using Databricks and/or Snowflake, focusing on scalability, performance, and business value</li>
</ul>
<p><b>Qualifications</b><b>:</b></p>
<ul>
<li>5 years of progressive experience in data engineering, with expertise in Databricks and or Snowflake platform.</li>
<li>Certifications in Databricks, Azure, and/or AWS data technologies preferred.</li>
<li>Experience in Databrick's core components like DataFrames, Datasets, Spark SQL, Delta Lake, Databricks Notebook, DBFS, and Databricks Connect.</li>
<li>Expeirence in Snowflake's core components like Snowflake Worksheets, Virtual Warehouses, Snowflake Tables, Secure Data Sharing, Snowpipe, Time Travel, and Streams &amp; Tasks.</li>
<li>Experience in machine learning pipelines and data engineering frameworks</li>
<li>Experience in implementing enterprise-scale data platforms as part of a collaborative team.</li>
<li>Proven ability to translate complex technical concepts for business leadership</li>
<li>Knowledge of data architecture principles, including data modelling, ETL processes, data governance, data quality, privacy and security controls.</li>
<li>Experience working in a fast-paced, collaborative, and team=based project environment.</li>
<li>Consulting firm experience preferred</li>
<li>Willingness to travel to client sites up to 50%</li>
<li>Hybrid work environment &ndash; 2x/week in office</li></ul></div><p></p><div><div><div><div><p><br>
Based on pay transparency guidelines, the salary range for this role can vary based on your proximity to one of our West Monroe offices (see table below). Individual salaries are determined by evaluating a variety of factors including geography, experience, skills, education, and internal equity.<br>
<br>
Employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees are able to enroll in our company&rsquo;s 401k plan, purchase shares from our employee stock ownership program and be eligible to receive annual bonuses. Employees will also receive unlimited flexible time off and ten paid holidays throughout the calendar year. Eligibility for ten weeks of paid parental leave will also be available upon hire date.</p></div></div><p>
Seattle or Washington, D.C.</p><p>
$125,500 - $147,600 USD</p></div><div><p>
Los Angeles</p><p>
$131,500 - $154,700 USD</p></div><div><p>
New York City or San Francisco</p><p>
$137,400 - $161,700 USD</p></div><div><p>
A location not listed above</p><p>
$119,500 - $140,600 USD</p></div></div><p></p><div><br>
<h3 class="jobSectionHeader"><b>
Other consultancies talk at you.</b><br>
<b>At West Monroe, we work with you.</b></h3>
<p>
We&rsquo;re a global business and technology consulting firm passionate about creating measurable value for our clients, delivering real-world solutions.</p>
<p>
The combination of business and technology is not new, but how we bring them together is unique. We&rsquo;re fluent in both. We know that technology alone is not the answer, but how we apply it is. We rely on data to constantly adapt and solve new challenges. Actions that work today with outcomes that generate value for years to come.</p>
<p>
At West Monroe, we zero in on the heart of the opportunity, getting to results faster and preparing people for what&rsquo;s next.</p>
<p>
You&rsquo;ll feel the difference in how we work. We show up personally. We&rsquo;re right tin the room with you, co-creating through the challenges. With West Monroe, collaboration isn&rsquo;t a lofty promise, but a daily action. We work together with you to turn vision into clear action with lasting impact.</p><br>
<p></p>
<p><b>
West Monroe</b><b> </b><b>is an Equal Employment Opportunity Employer</b><br>
We believe in treating each employee and applicant for employment fairly and with dignity. We base our employment decisions on merit, experience, and potential, without regard to race, color, national origin, sex, sexual orientation, gender identity, marital status, age, religion, disability, veteran status, or any other characteristic prohibited by federal, state or local law. To learn more about diversity, equity and inclusion at West Monroe, visit www.westmonroe.com/inclusion. If you require a reasonable accommodation to participate in our recruiting process, please inquire by sending an email to recruiting@westmonroe.com.</p>
<p>
Please review our current policy regarding use of generative artificial intelligence during the application process.</p>
<p>
If you are based in California, we encourage you to read West Monroe&rsquo;s Notice at Collection for California residents, provided pursuant to the California Consumer Privacy Act (CCPA)</p></div></div>

CapTech

<div>
 <p>
  CapTech is an award-winning consulting firm that collaborates with clients to achieve what&rsquo;s possible through the power of technology. At CapTech, we&rsquo;re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.
  <br/>
  <br/>
  <br/>
  <br/>
 </p>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <p>
  CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sources in order to enable decision-makers. We build pipelines and prepare data for use by data scientists, data analysts, and other data systems. We love solving problems and providing creative solutions for our clients. Cloud Data Engineers leverage the client&rsquo;s cloud infrastructure to deliver this value today and to scale for the future. We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients.
  <br/>
  <br/>
 </p>
 <p>
  The Value You Deliver (or What You&rsquo;ll Do)
  <br/>
  <br/>
 </p>
 <ul>
  <li>
   Be trusted advisor to customers with best practices, methodologies, and technologies to implement data engineering solutions.
  </li>
  <li>
   Design, implement, and maintain modern data pipelines to deliver optimal solutions utilizing appropriate cloud technologies.
  </li>
  <li>
   Partner with product owners and business SMEs to analyze customer requirements and provide a supportable and sustainable engineered solution.
  </li>
  <li>
   Provide technical leadership and collaborate within and across teams to ensure that the overall technical solution is aligned with the customer needs.
  </li>
  <li>
   Stay current with the latest cloud technologies, patterns, and methodologies; share knowledge by clearly articulating results and ideas to key stakeholders.
  </li>
 </ul>
 <p>
  <br/>
  <br/>
  <br/>
  <br/>
 </p>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <p>
  <br/>
  <br/>
 </p>
 <ul>
  <li>
   Experience building/operating highly available distributed systems of data extraction, ingestion, and processing large data sets
  </li>
  <li>
   5+ years of experience delivering data engineering solutions on cloud platform
  </li>
  <li>
   5+ years of experience implementing modern designs using at least one cloud-based solution/platform (AWS, Azure, GCP)
  </li>
  <li>
   Advanced level proficiency with at least one ETL / Data Orchestration technology (Azure Data Factory, SSIS, Informatica, Alteryx, Ab Initio, Pentaho, Talend, Matillion)
  </li>
  <li>
   Experience cloud-based data warehousing and data lake solutions like Snowflake, Redshift, Databricks
  </li>
  <li>
   5+ years of experience with SQL or NoSQL database (PostgreSQL, MySQL, SQL server, Oracle, Aurora, Presto, BigQuery)
  </li>
  <li>
   Expertise with SQL, database design/structure and data structure (star, snowflake schemas, de/normalized designs)
  </li>
  <li>
   5+ years of experience with at least one programming language (Python, Java, R, C / C# / C++, Shell)
  </li>
  <li>
   Familiarity with one or more DevOps tools (git, Jenkins, CI/CD, Jira)
  </li>
  <li>
   Fundamental understanding of big data, open source, and data streaming concepts
  </li>
  <li>
   Ability to think strategically and provide recommendations utilizing traditional and modern architectural components based on business needs
  </li>
  <li>
   Experience providing technical leadership and mentoring other engineers in data engineering space
  </li>
  <li>
   Cloud certification on any platform a plus
  </li>
 </ul>
 <p>
  <br/>
  <br/>
 </p>
 <p>
  <br/>
  <br/>
  <br/>
  <br/>
 </p>
 <strong>
  Additional Information
  <br/>
  <br/>
 </strong>
 <p>
  We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions.  You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way.  Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we&rsquo;ve launched extended benefits to help meet our employees&rsquo; needs.
  <br/>
  <br/>
 </p>
 <ul>
  <li>
   CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
  </li>
  <li>
   Learning &amp; Development &ndash; Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
  </li>
  <li>
   Modern Health &ndash;A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life&rsquo;s ups and downs
  </li>
  <li>
   Carrot Fertility &ndash;Inclusive fertility and family-forming coverage for all paths to parenthood &ndash; including adoption, surrogacy, fertility treatments, pregnancy, and more &ndash; and opportunities for employer-sponsored funds to help pay for care
  </li>
  <li>
   Fringe &ndash;A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them &ndash; ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
  </li>
  <li>
   Employee Resource Groups &ndash; Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
  </li>
  <li>
   Philanthropic Partnerships &ndash; Opportunities to engage in partnerships and pro-bono projects that support our communities.
  </li>
  <li>
   401(k) Matching &ndash; Generous matching and no vesting period to help you continue to build financial wellness
  </li>
 </ul>
 <p>
  CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness &mdash; each foundational to our core values.  We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE.  As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.
  <br/>
  <br/>
 </p>
 <p>
  At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.
 </p>
</div>


Senior Data Engineer (AWS, Azure, GCP)

<div>
 <p>
  CapTech is an award-winning consulting firm that collaborates with clients to achieve what&rsquo;s possible through the power of technology. At CapTech, we&rsquo;re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.
  <br/>
  <br/>
  <br/>
  <br/>
 </p>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <p>
  CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sources in order to enable decision-makers. We build pipelines and prepare data for use by data scientists, data analysts, and other data systems. We love solving problems and providing creative solutions for our clients. Cloud Data Engineers leverage the client&rsquo;s cloud infrastructure to deliver this value today and to scale for the future. We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients.
  <br/>
  <br/>
 </p>
 <p>
  The Value You Deliver (or What You&rsquo;ll Do)
  <br/>
  <br/>
 </p>
 <ul>
  <li>
   Be trusted advisor to customers with best practices, methodologies, and technologies to implement data engineering solutions.
  </li>
  <li>
   Design, implement, and maintain modern data pipelines to deliver optimal solutions utilizing appropriate cloud technologies.
  </li>
  <li>
   Partner with product owners and business SMEs to analyze customer requirements and provide a supportable and sustainable engineered solution.
  </li>
  <li>
   Provide technical leadership and collaborate within and across teams to ensure that the overall technical solution is aligned with the customer needs.
  </li>
  <li>
   Stay current with the latest cloud technologies, patterns, and methodologies; share knowledge by clearly articulating results and ideas to key stakeholders.
  </li>
 </ul>
 <p>
  <br/>
  <br/>
  <br/>
  <br/>
 </p>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <p>
  <br/>
  <br/>
 </p>
 <ul>
  <li>
   Experience building/operating highly available distributed systems of data extraction, ingestion, and processing large data sets
  </li>
  <li>
   5+ years of experience delivering data engineering solutions on cloud platform
  </li>
  <li>
   5+ years of experience implementing modern designs using at least one cloud-based solution/platform (AWS, Azure, GCP)
  </li>
  <li>
   Advanced level proficiency with at least one ETL / Data Orchestration technology (Azure Data Factory, SSIS, Informatica, Alteryx, Ab Initio, Pentaho, Talend, Matillion)
  </li>
  <li>
   Experience cloud-based data warehousing and data lake solutions like Snowflake, Redshift, Databricks
  </li>
  <li>
   5+ years of experience with SQL or NoSQL database (PostgreSQL, MySQL, SQL server, Oracle, Aurora, Presto, BigQuery)
  </li>
  <li>
   Expertise with SQL, database design/structure and data structure (star, snowflake schemas, de/normalized designs)
  </li>
  <li>
   5+ years of experience with at least one programming language (Python, Java, R, C / C# / C++, Shell)
  </li>
  <li>
   Familiarity with one or more DevOps tools (git, Jenkins, CI/CD, Jira)
  </li>
  <li>
   Fundamental understanding of big data, open source, and data streaming concepts
  </li>
  <li>
   Ability to think strategically and provide recommendations utilizing traditional and modern architectural components based on business needs
  </li>
  <li>
   Experience providing technical leadership and mentoring other engineers in data engineering space
  </li>
  <li>
   Cloud certification on any platform a plus
  </li>
 </ul>
 <p>
  <br/>
  <br/>
 </p>
 <p>
  <br/>
  <br/>
  <br/>
  <br/>
 </p>
 <strong>
  Additional Information
  <br/>
  <br/>
 </strong>
 <p>
  We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions.  You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way.  Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we&rsquo;ve launched extended benefits to help meet our employees&rsquo; needs.
  <br/>
  <br/>
 </p>
 <ul>
  <li>
   CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
  </li>
  <li>
   Learning &amp; Development &ndash; Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
  </li>
  <li>
   Modern Health &ndash;A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life&rsquo;s ups and downs
  </li>
  <li>
   Carrot Fertility &ndash;Inclusive fertility and family-forming coverage for all paths to parenthood &ndash; including adoption, surrogacy, fertility treatments, pregnancy, and more &ndash; and opportunities for employer-sponsored funds to help pay for care
  </li>
  <li>
   Fringe &ndash;A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them &ndash; ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
  </li>
  <li>
   Employee Resource Groups &ndash; Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
  </li>
  <li>
   Philanthropic Partnerships &ndash; Opportunities to engage in partnerships and pro-bono projects that support our communities.
  </li>
  <li>
   401(k) Matching &ndash; Generous matching and no vesting period to help you continue to build financial wellness
  </li>
 </ul>
 <p>
  CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness &mdash; each foundational to our core values.  We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE.  As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.
  <br/>
  <br/>
 </p>
 <p>
  CapTech supports Equal Pay for all. In addition, in the State of Illinois we are committed to Equal Pay for ALL in accordance with the Illinois Equal Pay Act. The base pay range for this role is: $90,000 - $200,000.
  <br/>
  <br/>
 </p>
 <p>
  At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.
 </p>
</div>


THE BRATTLE GROUP

<div><p>The Brattle Group, a privately held, global economics consulting firm, is looking for a <b>Senior Data Engineer (Applied AI/ML) </b>to join our<b> Boston, MA </b>office. The Senior Data Engineer at Brattle has a dual role spanning both client-facing project work and substantial internal research and development. The role sits at the intersection of data engineering, applied machine learning, and analytical consulting. Senior Data Engineers translate complex client questions and messy real-world data into defensible analytical approaches, exercising judgment about when classical statistical methods, machine learning techniques, or newer approaches such as generative AI are appropriate.</p>
<p>
On client engagements, Senior Data Engineers define technical approaches, lead analytical workstreams, and make key implementation decisions while collaborating closely with Principals, consultants, and subject-matter experts. They evaluate modeling strategies, articulate technical trade-offs, and guide teams toward practical solutions that hold up under real-world data and time constraints.</p>
<p>
Beyond project delivery, the role contributes significantly to internal research and development focused on expanding the team's analytical capabilities. This includes researching and prototyping new methods, tools, and workflows across structured and unstructured data, including text analysis, vector-based methods, and LLM-enabled approaches, and helping transition promising prototypes into approaches that can be applied in client work.</p>
<p>
The role emphasizes modeling judgment, feature design, and evaluation rather than routine pipeline construction, building on Brattle's existing work in Python-based machine learning, unstructured data analysis, and generative AI workflows.</p><br>
<p></p>
<p><b>
Some of the day-to-day responsibilities of this role include:</b></p>
<ul>
<li>Define and lead technical workstreams for client and internal projects, including selecting analytical approaches, evaluating modeling strategies, and determining appropriate tools and methods for the problem context</li>
<li>Triage and assess incoming client data from a wide range of sources and maturity levels, determining data readiness, required normalization, and appropriate analytical paths</li>
<li>Exercise independent judgment in ambiguous situations, evaluating competing analytical approaches and technical trade-offs, and articulating clear recommendations to project teams, Principals, and clients</li>
<li>Translate complex client questions and messy real-world data into appropriate analytical methods, determining when classical statistical methods, machine learning techniques, generative AI workflows, or simpler approaches are warranted</li>
<li>Research, prototype, and evaluate new analytical methods, tools, or workflows that expand the team's capabilities, particularly in areas such as text analysis, unstructured data, vector-based methods, and LLM-enabled workflows</li>
<li>Develop proof-of-concept analyses and models, and structure handoff plans for junior engineers to implement, refine, and scale where appropriate</li>
<li>Review code submitted by engineers, providing technical feedback and guidance on design, modeling choices, and maintainability</li>
<li>Write reproducible Python-based analyses for data processing, unstructured data exploration, modeling, and evaluation</li>
<li>Contribute to internal documentation, training, and knowledge sharing, helping establish recommended practices and reusable analytical approaches</li>
<li>Coordinate with IT as needed on software licensing, tooling evaluation, and deployment of new analytical technologies</li></ul><br>
<p></p>
<p><b>
THE CANDIDATE</b></p>
<ul>
<li>Bachelor's Degree in Computer Science, Computer Engineering, or related field; advanced degree is a plus</li>
<li>4&ndash;7 years of professional experience in data engineering, analytics, or related technical roles</li>
<li>Proven track record delivering complex, ambiguous data projects, including selecting approaches and managing trade-offs</li>
<li>Demonstrated ability to research and pilot new technologies or methodologies</li>
<li>Strong proficiency in Python for data processing, automation, exploratory analysis, and modeling</li>
<li>Applied machine learning experience, including evaluating and contrasting modeling approaches (e.g., classification, ranking, clustering, vector-based methods, and generative AI techniques) based on problem context, data quality, and practical constraints</li>
<li>Experience with feature design, model evaluation, and interpretation using real, messy datasets</li>
<li>Experience working with structured and unstructured data sources, including text-heavy datasets and heterogeneous data environments</li>
<li>Proficiency in SQL and relational data concepts, including joins, aggregation, and performance-aware querying</li>
<li>Familiarity with cloud platforms such as Azure (or comparable environments) for data storage, compute, and analytical workflows</li>
<li>Hands-on experience with version control (Git) and collaborative development practices</li>
<li>Ability to select appropriate tools, analytical approaches, and modeling strategies based on the problem context and available data</li>
<li>Strong mentorship and coaching skills, including reviewing code and providing feedback to junior team members</li>
<li>Excellent written and verbal communication skills for both technical and non-technical audiences</li>
<li>Effective at cross-functional collaboration, coordinating with other teams (IT, DevOps, consulting)</li>
<li>Ability to translate complex technical concepts into actionable solutions</li></ul><br>
<p></p>
<p><i>
Brattle offers a competitive benefits package, base salary, and bonus program for eligible roles based on individual and firm performance. The anticipated base gross salary range for this position in Boston, MA is $125,000 - $135,000 annually. Actual salary will depend on a variety of factors, including experience and training.</i></p><br>
<p></p>
<p><i>
This position is not eligible for immigration sponsorship.</i></p><br>
<p></p>
<p><b>
EQUAL OPPORTUNITY</b></p>
<p>
The Brattle Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, citizenship status, national origin, ancestry, sex, gender identity and expression, age, height, weight, domestic partner status, Acquired Immune Deficiency Syndrome or HIV status (AIDS/HIV status), genetic information, sexual orientation, disability (where the applicant or employee is qualified to perform the essential functions of the job with or without reasonable accommodation), marital status, veteran status, political affiliation, drug or alcohol abuse or alcoholism, or any other characteristic protected under applicable law.</p><br>
<p></p>
<p>
We encourage all applicants to click here to review our full Equal Employer Opportunity Statement.</p><p></p><div><p><b><br>
THE EMPLOYER</b></p>
<p>
The Brattle Group answers complex economic, finance, and regulatory questions for corporations, law firms, and governments around the world. We are distinguished by the clarity of our insights and the credibility of our experts, which include leading international academics and industry specialists. Brattle has 500 talented professionals across North America, Europe, and Asia-Pacific. For more information, please visit brattle.com.</p></div></div><p></p>

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