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Capgemini

<div><div><div><p>New York</p><div>
GCP Data Engineer</div><p>
</p></div></div><p></p><div><div><div><div><div><div>
Responsibilities</div><ul><li>
Contribute to the migration of legacy data warehouse to a google cloud-based data warehouse for a Telecom Major..</li><li>
Collaborate with Data Product Managers, Data Architects to design, implement, and deliver successful data solutions</li><li>
Help architect data pipelines for the underlying data warehouse and data marts</li><li>
Design and develop very complex ETL pipelines in Google cloud Data environments.</li><li>
Our legacy tech stack includes Teradata and new tech stack includes GCP Cloud Data Technologies like BigQuery and Airflow and languages include SQL , Python</li><li>
Maintain detailed documentation of your work and changes to support data quality and data governance</li><li>
Support QA and UAT data testing activities</li><li>
Support Deployment activities to higher environments</li><li>
Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to our customers (Data Science, Data Analytics teams)</li><li>
Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team</li></ul><div>
</div><div>Basic Qualifications</div><ul><li>
8+ years of data engineering experience developing large data pipelines in very complex environments</li><li>
Very Strong SQL skills and ability to build Very complex transformation data pipelines using custom ETL framework in Google BigQuery environment</li><li>
Exposure to Teradata and ability to understand complex Teradata BTEQ scripts</li><li>
String Python programming skills</li><li>
Strong Skills on build Airflow Jobs and Debug issues</li><li>
Ability to Optimize the Query in BigQuery</li><li>
Hands-on experience on Google Cloud data Technologies ( GCS , BigQuery, Dataflow, Pub sub, Data Fusion , Cloud Function)</li></ul><div>
</div><div>Preferred Qualifications</div><ul><li>
Experience with cloud data warehouse technology BigQuery.</li><li>
Nice to have experience with Cloud technologies like GCP (GCS , Data Proc, Pub/sub, Data flow, Data Fusion, Cloud Function)</li><li>
Nice to have exposure to Teradata</li><li>
Solid experience with Job Orchestration Tools like Airflow and ability to build complex Jobs.</li><li>
Writing and maintaining large Data Pipelines using Custom ETL framework</li><li>
Ability to Automate Jobs using Python</li><li>
Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices</li><li>
Very good experience with Code Version control repository like Github</li><li>
Good Scripting skills, including Bash scripting and Python</li><li>
Familiar with Scrum and Agile methodologies</li><li>
Problem solver with strong attention to detail and excellent analytical and communication skills</li><li>
Ability to work in Onsite / Offshore model and able to lead a Team.</li></ul><div><div><div><div>
Job Description</div></div><div>
Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.</div></div><div><div><div>
Job Description - Grade Specific</div></div><div>
The involves leading and managing a team of data engineers, overseeing data engineering projects, ensuring technical excellence, and fostering collaboration with stakeholders. They play a critical role in driving the success of data engineering initiatives and ensuring the delivery of reliable and high quality data solutions to support the organizations data driven objectives.</div></div></div><p>
The base compensation range for this role in the posted location is:$76,200 to $187,740</p><p>
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p><p>
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p><p>
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p><p>
It is not typical for candidates to be hired at or near the top of the posted compensation range.</p><p>
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p><p>
</p><p>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
</p><ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li></ul><ul><li>
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li><li>
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li><li>
Life and disability insurance</li><li>
Employee assistance programs</li><li>
Other benefits as provided by local policy and eligibility</li></ul><p>
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p><p>
</p><p>Disclaimers</p><p>
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p><p>
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p><p>
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p><p></p><p><br>
</p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p><p>
</p></div></div><div><div><div><div><div>Ref. code</div><div>
396972-en_GB</div></div><div><div>
Posted on</div><div>
27 Feb 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
New York</div></div><div><div>
Business unit</div><div>
I and D Global Business Line</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Data &amp; AI</div></div></div></div></div></div></div></div></div><p></p>

GCP Data Engineer

CVS Health

<div><p>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.</p><p></p><p><b>
Position Summary</b></p><p>
If you&rsquo;re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.</p><p></p><p>
At CVS Health, we possess an extensive repository of healthcare data that spans over 150 million individuals, providing an unparalleled foundation for ambitious Data Engineers. In this role, you will engage with complex business challenges, harnessing modern tools and technologies to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data. Your work will underpin data-driven business decisions and contribute to our mission of delivering industry-best data products / software with a customer-first mindset and team-oriented approach.</p><p></p><p>
As a Senior Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of various CVS lines of business. Collaborating closely with teams, you will craft tools to provide actionable insights and integrate them with consumer touchpoints.</p><p></p><p>
In this role, you will:</p><ul><li>
Architect and develop robust, scalable ETL/ELT pipelines using Cloud Dataflow, Cloud composer (Airflow), and Pub/Sub for both batch and streaming use cases. Leverage BigQuery as the central data warehouse and design integrations with other GCP services (e.g., Cloud storage, Cloud functions).</li><li>
Build and optimize analytical data models in BigQuery. Implement partitioning, clustering, and materialized views for performance and cost efficiency. Ensure compliance with data governance, access controls, and IAM best practices.</li><li>
Develop integrations with external systems (APIs, flat files etc.) using GCP-native or hybrid approaches. Utiilize tools like Dataflow or custom Python/Java services on Cloud Functions or Cloud Run to handle transformations and ingestion logic.</li><li>
Build automated CI/CD pipeline using Cloud Build, GitHub Actions, or Jenkins for deploying data pipeline code and workflows. Set up observability using Cloud Monitoring, Cloud Logging, and Error Reporting to ensure pipeline reliability.</li><li>
Lead architectural decisions for data platforms and mentor junior engineers on cloud-native data engineering patterns. Promote best practices for code quality, version control, cost optimization, and data security in a GCP environment. Drive initiatives around data democratization, including building reusable datasets and data catalogs via Datapelx or Data Catalog.</li></ul><p></p><p>
As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.</p><p></p><p>
This role may work onsite 2 days a week in one of CVS Health's core hubs in: NYC, Hartford, CT or Wellesley, MA. Full-time Remote candidates will also be considered.</p><p></p><p><b>
Required Qualifications</b></p><ul><li>
3+ years of experience with SQL, NoSQL</li><li>
3+ years of experience with Python (or a comparable scripting language)</li><li>
3+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components</li><li>
3+ years of experience with ETL/ELT, and building high-volume data pipelines</li><li>
3+ years of experience with reporting/analytic tools</li><li>
3+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management</li><li>
3+ years of experience with Big data and cloud architecture</li><li>
3+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP, AWS, Azure)</li><li>
3+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)</li><li>
3+ years of experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Kafka, Spark Streaming)</li><li>
1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders</li><li>
1+ year(s) of experience independently managing deliverables</li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li>
Experience in designing and building data engineering solutions in cloud environments (preferably GCP)</li><li>
Experience with Git, CI/CD pipeline, and other DevOps principles/best practices</li><li>
Experience with bash shell scripts, UNIX utilities &amp; UNIX Commands</li><li>
Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources</li><li>
Knowledge of API development</li><li>
Experience with complex systems and solving challenging analytical problems</li><li>
Strong collaboration and communication skills within and across teams</li><li>
Knowledge of data visualization and reporting</li><li>
Experience with schema design and dimensional data modeling</li><li>
Google Professional Data Engineer Certification</li><li>
Knowledge of microservices and SOA</li><li>
Formal SAFe and/or agile experience. Previous healthcare experience and domain knowledge</li><li>
Experience designing, building, and maintaining data processing systems</li><li>
Experience architecting and building data warehouse and data lakes</li></ul><p></p><p><b>
Education</b></p><ul><li>
Bachelor&rsquo;s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required</li><li>
Master&rsquo;s Degree preferred</li></ul><p></p><p><b>
Anticipated Weekly Hours</b></p>
40<p></p><p><b>
Time Type</b></p>
Full time<p></p><p><b>
Pay Range</b></p><p>
The typical pay range for this role is:</p><p></p>
$83,430.00 - $222,480.00<p></p><p>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.</p><p><br>
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.</p><p></p><p><b>
Great benefits for great people</b></p><p></p><p>
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:</p><ul><li><p><b>
Affordable medical plan options,</b> a <b>401(k) plan </b>(including matching company contributions), and an <b>employee stock purchase plan</b>.</p></li><li><p><b>
No-cost programs for all colleagues </b>including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</p></li><li><p><b>
Benefit solutions that address the different needs and preferences of our colleagues</b> including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</p></li></ul><p></p><p>
For more information, visit https://jobs.cvshealth.com/us/en/benefits</p><p></p>
We anticipate the application window for this opening will close on: 03/30/2026<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

Senior Data Engineer

The Cypress Group

<div>
 <p>
  Our client is a growing Fintech software company Headquarted in New York, NY. They have several hundred employees and are in growth mode.
 </p>
 <p>
  <br/>
 </p>
 <p>
  They are currently looking for a Senior Data Engineer w/ 6+ years of overall professional experience. Qualified candidates will have hands-on experience with Python (6 years), SQL (6 years), DBT (3 years), AWS (Lambda, Glue), Airflow and Snowflake (3 years). BSCS and good CS fundamentals.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Senior Data Engineer will work in a collaborative team environment and will be responsible for building, optimizing and scaling ETL Data Pipelines, DBT models and Datawarehousing. Excellent communication and organizational skills are expected.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This role features competitive base salary, equity, 401(k) with company match and many other attractive perks. Please send your resume to nyjobs@cypressg.com for immediate consideration.
 </p>
</div>


Authentic

<div>
 Authentic helps insurance brokers create better insurance products for their clients. We provide the technology platform and behind-the-scenes support that lets brokers build custom insurance solutions for specific industries or customer groups. Think of us as the operating system that powers these specialized insurance offerings. For brokers, this means they can offer unique products their competitors don't have, earn more money, and spend less time on paperwork and administrative tasks. We handle the complex (technology, compliance, and partnerships with highly-rated insurance carriers), so they can focus on serving their customers and growing their business.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and build reliable data pipelines and infrastructure that power underwriting models, claims processing, and operational reporting
  </li>
  <li>
   Own data models end-to-end&mdash;from source ingestion through transformation to delivery&mdash;ensuring data quality, freshness, and accessibility for internal teams, product features, and external partners
  </li>
  <li>
   Identify bottlenecks in existing data workflows and implement solutions that improve reliability, reduce latency, and scale with business growth
  </li>
  <li>
   Build and maintain the data warehouse architecture, optimizing for both analytical workloads and operational use cases
  </li>
  <li>
   Partner with engineering, product, and ops teams to understand data needs and translate them into well-designed pipelines and models
  </li>
  <li>
   Implement monitoring, alerting, and data quality checks to catch issues before they impact downstream consumers
  </li>
  <li>
   Contribute to data governance practices, including documentation, lineage tracking, and access controls for regulatory and compliance needs
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3-5 years of experience building and maintaining data pipelines and infrastructure in production environments
  </li>
  <li>
   Strong proficiency with modern data stack tools: Snowflake, dbt, and Airflow (or similar orchestration tools)
  </li>
  <li>
   Experience with Python for data processing and pipeline development
  </li>
  <li>
   Solid understanding of data modeling best practices (dimensional modeling, slowly changing dimensions, etc.)
  </li>
  <li>
   Familiarity with AWS data services and infrastructure-as-code
  </li>
  <li>
   Demonstrated ownership mindset: you clarify requirements, ask great questions, and drive work to completion
  </li>
  <li>
   Track record of building reliable systems without sacrificing velocity&mdash;you know when to move fast and when to be careful
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Our (FTE) benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary, equity, and role trajectory
  </li>
  <li>
   Comprehensive health benefits for you and your family
  </li>
  <li>
   401(k) plan with company match
  </li>
  <li>
   Unlimited PTO
  </li>
  <li>
   Paid parental leave
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Authentic
  <br/>
  <br/>
 </strong>
 Authentic is transforming how insurance is distributed. We design and power custom insurance programs, helping brokers and partners unlock better economics and deliver a modern, tech-enabled experience to their clients. We're a Series A company backed by top investors, including FirstMark Capital, Zigg Capital, Slow Ventures, Clocktower, Commerce Ventures, and Altai. We've grown 15x+ in the past year with a massive market opportunity ahead.
 <br/>
 <br/>
 <em>
  Authentic is committed to building an inclusive working environment regardless of gender, sexual orientation, religion, ethnicity, race, education, age, or other personal characteristics. We believe that people do their best work when they can be themselves, and different perspectives and experiences make us stronger as a team. We're proud of the supportive and inclusive workplace we're building together and are always working to make it even better.
 </em>
</div>


Software Engineer - Data

Genius Sports

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before.
<br><br>
The Role - Senior Software Engineer, Data Platform
<br><br>
We’re looking for a Senior Data Platform Engineer to help design and scale the foundational systems that power our data ecosystem. In this role, you’ll lead the architecture and modernization of our data infrastructure, enabling teams across the organization to discover, access, and act on data quickly, reliably, and securely. You’ll drive large-scale platform initiatives from concept to production, make thoughtful architectural tradeoffs, and partner closely with product and cross-functional stakeholders to shape engineering direction.
<br><br>
This is a highly technical leadership role ideal for someone with deep experience in distributed systems, modern data lakehouse and streaming architectures, and large-scale data operations—who is also passionate about mentorship, technical excellence, and building systems that have meaningful business impact.
<br><br>
What You'll Do
<br>Design, build, and maintain the Data Platform's foundational systems and features that enable internal teams to discover, access, and act on data quickly, reliably, and securely
<br>Drive the modernization of our data infrastructure, navigating technical complexity and making sound architectural tradeoffs to strengthen our foundation and increase organizational productivity
<br>Serve as a technical leader for large-scale Data Platform initiatives, driving architectural decisions and shaping engineering direction in close partnership with product and cross-functional stakeholders
<br>Provide technical mentorship to junior and mid-level engineers, upskilling the team and preparing them to take on greater responsibilities
<br>Stay up-to-date with emerging technologies and industry trends in data systems and platform development
<br>Qualifications
<br>A proven track record, with 5+ years of hands-on experience in architecting distributed system architecture, guiding projects from initial ideation to successful production deployment
<br>A product-minded approach—you understand how our software impacts user experience and business outcomes
<br>Demonstrated mentorship and leadership experience, growing engineers and fostering a culture of technical excellence
<br>Excellent collaboration and communication skills, with the ability to influence across teams
<br>Broad expertise across the data systems engineering landscape, with deep experience in one or more of the following areas:
<br>Hands-on experience designing and operating modern data lakehouse and warehouse systems (Iceberg, Trino, BigQuery, StarRocks, Citus)
<br>Expertise in distributed data processing and streaming architectures, including Spark, Pulsar, Kafka, and Flink, with a strong understanding of batch vs. real-time trade-offs
<br>Experience working with large-scale datasets, including performance tuning, cost optimization, and observability in production environments
<br>Solid understanding of data modeling, schema evolution, and data quality practices in distributed data platforms
<br>Preferred Qualifications
<br>Experience with Rust
<br>Prior experience as a tech lead driving the adoption of foundational organizational systems and achieving buy-in from stakeholders
<br>History of open source contribution, particularly in the data systems ecosystem
<br><br>
The base salary range for this role is $190,000 - $240,000. There are a number of factors which affect what the specific pay offer would be for this role, including location, seniority, and relevant educational and working experience. This is base salary only – all full-time roles will also be eligible to take part in Genius benefits and some roles may be eligible to take part in a variable compensation plan. For more details on the compensation and benefits package, please get in touch with our Talent team.
<br><br>
We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.
<br><br>
As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career.
<br><br>
One team, being brave, driving change
<br><br>
We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference.
<br><br>
Let us know when you apply if you need any assistance during the recruiting process due to a disability.

Senior Software Engineer, Data Platform

Slalom

<div>
 <strong>
  Who You'll Work With
  <br/>
  <br/>
 </strong>
 At Slalom we co-create custom software, data and cloud products with clients who are ready to accelerate their digital transformation. We're passionate about technology, compelled by its potential as we help create the digital products, experiences, and technology-driven organizations that drive true change. We&rsquo;re thrilled by the opportunity to build the future we want to see, with anyone willing to join us.
 <br/>
 <br/>
 Slalom's Data Engineering Discipline Is Focused On Injecting Intelligence Into Products, Engineering Systems That Support Learning And Insight And Creating Innovative Data Products. Within Data Engineering We Help Customers Build World-class Products Through Effective Use Of
 <br/>
 <br/>
 <ul>
  <li>
   Data engineering consisting of streaming / real-time data solutions, modern data platforms and data systems within products (i.e., database systems, graph databases, key-value stores, document databases and transactional systems)
  </li>
  <li>
   Machine Learning and Artificial Intelligence
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 Slalom Data Engineering discipline is comprised of passionate, flexible technologists who love to practice and hone their craft. As tools evolve and technologies emerge, we work to stay in front of innovations in data platform development and delivery.
 <br/>
 <br/>
 As a Data Engineer for Slalom, you will work in collaborative teams to deliver innovative solutions on Amazon Web Services, Microsoft Azure, and Google Cloud Platform using core cloud data warehouse tools, distributed processing engines, event streaming platforms, and other modern data technologies. In addition to building the next generation of data platforms, you will be working with some of the most forward-thinking organizations in data and analytics.
 <br/>
 <br/>
 You will be engaged to participate in design sessions and be responsible for the timely completion of development items assigned to you in a project backlog.
 <br/>
 <br/>
 <ul>
  <li>
   You will work in a hybrid environment, with expectation to be in-person with Slalom teams and clients as needed.
  </li>
  <li>
   You also must be within commutable distance to one of Slalom's Atlanta, Boston or New York City's office locations.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Bring
  <br/>
  <br/>
 </strong>
 You will have an interest to become the best at what you do and will have many opportunities to gain hands-on experience with new data platforms and programming languages as you explore the range of technologies that we help our clients with including:
 <br/>
 <br/>
 <ul>
  <li>
   Big Data Platforms (Apache Spark, Presto, Amazon EMR)
  </li>
  <li>
   Cloud Data Warehouses (Amazon Redshift, Snowflake, Google BigQuery)
  </li>
  <li>
   Object Oriented Coding (Java, Python)
  </li>
  <li>
   NoSQL Databases (DynamoDB, Cosmos DB, MongoDB)
  </li>
  <li>
   Container Management Systems (Kubernetes, Amazon ECS)
  </li>
  <li>
   Artificial Intelligence / Machine Learning (Amazon Sagemaker, Azure ML Studio)
  </li>
  <li>
   Streaming Data Ingestion and Analytics (Amazon Kinesis, Apache Kafka)
  </li>
  <li>
   Visual Analytics (Tableau, PowerBI)
  </li>
  <li>
   Modern Data Workflows (Apache Airflow, dbt, Dagster)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.
 <br/>
 <br/>
 <strong>
  Compensation And Benefits
  <br/>
  <br/>
 </strong>
 Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, &amp; vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.
 <br/>
 <br/>
 <strong>
  Role
  <br/>
  <br/>
 </strong>
 <em>
  Slalom is committed to fair and equitable compensation practices. For this role, we are hiring at the following levels and salary ranges:
  <br/>
  <br/>
 </em>
 <ul>
  <li>
   Atlanta, Miami:
  </li>
  <ul>
   <li>
    Consultant: $91,000-$112,000
   </li>
   <li>
    Senior Consultant: $119,000-$146,000
   </li>
  </ul>
  <li>
   New York, Boston:
  </li>
  <ul>
   <li>
    Consultant: $99,000-$122,000
   </li>
   <li>
    Senior Consultant: $130,000-$159,000
    <br/>
   </li>
  </ul>
 </ul>
 <strong>
  EEO and Accommodations
  <br/>
  <br/>
 </strong>
 <em>
  Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans&rsquo; status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.
 </em>
 <em>
 </em>
</div>


Data Engineer

Runwise

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   This position sits in our warehouse five days a week located in Long Island City, Queens. Please only apply if you are willing to commute to this location.**
   <br/>
   <br/>
  </li>
 </ul>
 Runwise is seeking a
 <strong>
  Warehouse Operations Manager
 </strong>
 to lead day-to-day warehouse execution, procurement coordination, and inventory operations across our growing field services organization. This is a critical management role responsible for translating strategy into execution&mdash;owning warehouse performance, people management, and process discipline while partnering closely with senior operations leadership.
 <br/>
 <br/>
 <strong>
  THE TEAM
  <br/>
  <br/>
 </strong>
 Runwise (www.runwise.com) is a fast-paced, customer-focused climate-tech startup that controls and runs the key energy systems (heating, cooling, water, etc&hellip;) in 8000+ buildings throughout the US. Runwise&rsquo;s unique hardware and software service significantly reduces energy usage, substantially lowering costs and carbon output. As of today, Runwise&rsquo;s technology takes the equivalent of 100,000 cars worth of carbon emissions off the road each year. Runwise is headquartered in New York City with established markets in Chicago, Boston, and Washington D.C.
 <br/>
 <br/>
 <strong>
  THE ROLE
  <br/>
  <br/>
 </strong>
 As
 <strong>
  Warehouse Operations Manager
 </strong>
 , you will be responsible for
 <strong>
  end-to-end warehouse operations
 </strong>
 , including inventory accuracy, procurement execution, picking/packing workflows, and team performance. You will directly manage warehouse associates, procurement specialists, and/or area managers, serving as the primary operational owner beneath senior leadership.
 <br/>
 <br/>
 This role requires someone who is
 <strong>
  hands-on but systems-minded
 </strong>
 &mdash;comfortable on the floor when needed, but focused on building scalable processes, standard work, and accountability as Runwise continues to grow.
 <br/>
 <br/>
 You will work cross-functionally with
 <strong>
  Field Operations, Scheduling, Onboarding, Logistics, Engineering, Product Management, and Vendors
 </strong>
 to ensure the right materials are in the right place at the right time&mdash;without excess cost or downtime.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Warehouse Operations &amp; Execution
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Own daily warehouse operations including receiving, storage, picking, packing, staging, and outbound shipments
  </li>
  <li>
   Ensure install kits, service call bags, and technician van stock are built, replenished, and accurate
  </li>
  <li>
   Maintain warehouse organization, cleanliness, safety, and layout optimization
  </li>
  <li>
   Support hands-on execution during peak periods or operational escalations as needed
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  People Management &amp; Leadership
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Directly manage and develop warehouse associates, procurement staff, and/or area managers
  </li>
  <li>
   Set clear expectations, workflows, and performance standards
  </li>
  <li>
   Coach team members on accuracy, efficiency, and process adherence
  </li>
  <li>
   Act as the primary escalation point for warehouse-related issues
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Inventory &amp; Procurement Management
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Oversee inventory levels, cycle counts, and reconciliation processes
  </li>
  <li>
   Partner with procurement to forecast demand and align supply with installation and service volume
  </li>
  <li>
   Monitor purchasing activity, spending controls, and vendor performance
  </li>
  <li>
   Participate in vendor and manufacturer calls as the operational representative
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Process Improvement &amp; Scaling
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Identify inefficiencies and implement process improvements across warehouse and inventory workflows
  </li>
  <li>
   Develop, document, and enforce SOPs
  </li>
  <li>
   Improve picking accuracy, throughput, storage utilization, and inventory visibility
  </li>
  <li>
   Utilize tracking tools and data to drive operational decisions and continuous improvement
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Cross-Functional Collaboration
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work closely with Field Operations and Scheduling to anticipate material needs
  </li>
  <li>
   Coordinate logistics and shipment timing to meet operational SLAs
  </li>
  <li>
   Communicate clearly with stakeholders across all levels of the organization
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Based in the New York City area
  </li>
  <li>
   Comfortable leading teams while staying close to operations
  </li>
  <li>
   Highly organized, detail-oriented, and execution-focused
  </li>
  <li>
   Able to communicate clearly with frontline staff and senior leadership alike
  </li>
  <li>
   Proactive problem-solver who thrives in fast-paced, ambiguous environments
  </li>
  <li>
   Willing and able to work overtime or flex hours as operational needs require
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   4+ years of warehouse, inventory, or operations experience (with at least 1&ndash;2 years in a leadership or supervisory role)
  </li>
  <li>
   Experience managing people and workflows in a physical operations environment
  </li>
  <li>
   Strong analytical skills with high attention to detail
  </li>
  <li>
   Ability to work cross-functionally and manage competing priorities
  </li>
  <li>
   High School diploma or GED required (Bachelor&rsquo;s degree a plus but not required)
   <br/>
   <br/>
  </li>
 </ul>
 Runwise is proud to be an equal-opportunity employer. We are committed to equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other legally protected characteristics. We celebrate and support diverse perspectives, skills, and experiences within our company.
 <br/>
 <br/>
 <strong>
  Salary
  <em>
   : $100,000-$120,000 annually
  </em>
  <em>
   (Based on experience)
   <br/>
   <br/>
  </em>
 </strong>
 <strong>
  What You Believe
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   No job is too small.
  </li>
  <li>
   Sincerity builds trust.
  </li>
  <li>
   Setbacks fuel progress.
  </li>
  <li>
   Efficiency is vital.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Medical, dental, and vision insurance
  </li>
  <li>
   HSA &amp; FSA options
  </li>
  <li>
   Paid Parental Leave
  </li>
  <li>
   Access to Talkspace &amp; Health Advocate
  </li>
  <li>
   Flexible PTO
  </li>
  <li>
   Commuter Benefits
  </li>
  <li>
   401K
  </li>
  <li>
   Company-paid life insurance
  </li>
  <li>
   Voluntary supplemental life insurance
  </li>
  <li>
   Free in-office lunch on Wednesdays
  </li>
  <li>
   Summer Fridays
  </li>
  <li>
   Monthly L&amp;D Series
  </li>
  <li>
   Employee Resource Groups (e.g. DEIB Committee, Run Club)
  </li>
 </ul>
</div>


Warehouse Operations Manager

Explore 663+ Data warehouse engineer in New York this March. Find roles across top companies and apply now to boost your career.

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