gcp data engineer

Capgemini

<div><div><div><div><p><b>Job Description</b></p>
<p>We are seeking a skilled Data Engineer with hands-on experience in Databricks and Google Cloud Platform (GCP) to design, build, and optimize data pipelines and analytics solutions. The ideal candidate will have a strong background in distributed data processing, cloud architecture, and data modeling. This role partners closely with data analysts, data scientists, and business stakeholders to deliver scalable, reliable, and high‑quality data products.</p>
<p><b>Your role</b></p>
<p>Design, build, and maintain ETL/ELT pipelines using Databricks (PySpark, Delta Lake).
<br>
Optimize pipelines for performance, cost efficiency, and scalability within GCP.
<br>
Develop batch and streaming data processes using Spark Streaming, and related technologies.
<br>
Implement data solutions leveraging GCP services such as BigQuery, Cloud Storage, Dataflow, Cloud Composer, and Vertex AI integrations.
<br>
Apply best practices for cloud security, IAM configuration, monitoring, and cost management.
<br>
Build and maintain data models, including dimensional modeling and data vault structures.
<br>
Implement data quality frameworks, validation rules, and automated testing.
<br>
Manage data versioning, governance, and lineage using tools such as Unity Catalog or GCP Data Catalog.
<br>
Partner with cross‑functional teams to gather requirements and translate them into technical designs.
<br>
Provide technical guidance and influence engineering best practices across the team.
<br>
Contribute to documentation, architectural diagrams, and knowledge sharing.</p>
<p><b>Your Skills and Experience</b></p>
<p><b>Required</b>
<br>
Experience as a Data Engineer or similar role.
<br>
Strong hands-on experience with Databricks, including:
<br>
PySpark/Spark
<br>
Delta Lake
<br>
Databricks workflows/jobs
<br>
Proficiency with GCP:
<br>
BigQuery
<br>
Cloud Storage
<br>
Dataflow or Dataproc
<br>
Strong coding skills in Python and SQL.
<br>
Solid understanding of distributed systems, data warehousing, and data architecture principles.
<br>
Experience with CI/CD tools (GitHub, GitLab, Azure DevOps, or similar).</p>
<p><b>Preferred Qualifications</b></p>
<p>Databricks or GCP certifications (e.g., Data Engineer, Architect).
<br>
Experience with Terraform or other Infrastructure-as-Code tools.
<br>
Knowledge of ML workflows or MLOps frameworks.
<br>
Familiarity with data governance tools (Unity Catalog, Great Expectations, dbt, etc.).</p>
<div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2>
</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><h2 class="jobSectionHeader"><b>Job Description - Grade Specific</b></h2>
</div><div>The role involves leading and managing a team of data engineers, defining and executing the data engineering strategy, and ensuring the effective delivery of data solutions. They provide technical expertise, drive innovation, and collaborate with stakeholders to deliver high quality, scalable, and reliable data infrastructure and solutions.</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><br>
<p></p><p><b>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.</b> 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><b>Important Notice:</b> 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><br>
<p></p><p><b>Disclaimers</b></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>Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law</p><br>
<p></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></div></div></div></div><p></p>

GCP Lead Data Engineer

HCA Healthcare

<p></p><div><h5 class="jobSectionHeader"><b>This is OUR story... and YOUR next chapter</b></h5>
At HCA Healthcare, our Digital Transformation and Innovation (DT&amp;I) team is redefining what&rsquo;s possible inpatient care. By leveraging the power of artificial intelligence, automation, and digital technologies, DT&amp;I is helping drive meaningful improvements in clinical outcomes, reduce manual workload, and expand the reach of our care teams. If you're passionate about using technology to improve human life, this is where your work truly matters<h5 class="jobSectionHeader"><b>
What you will accomplish in this role</b></h5><p><b>
Job Summary</b></p><p>
The Staff Data Engineer - API serves as a primary development resource for design, writing code, test, implementation, document functionality, and maintain of NextGen solutions for the GCP Cloud enterprise data initiatives. The role requires working closely with data teams, frequently in a matrixed environment as part of a broader project team. This role requires &lsquo;self-starters&rsquo; who are proficient in problem solving and capable of bringing clarity to complex situations. The culture of the organization places an emphasis on teamwork, so social and interpersonal skills are equally important as technical capability. Due to the emerging and fast-evolving nature of GCP technology and practice, the position requires that one stay well-informed of technological advancements and be proficient at putting new innovations into effective practice.</p>
<p>In addition, this candidate will have a history of increasing responsibility in a small multi-role team. This position requires a candidate who can analyze business requirements, perform design tasks, construct, test, and implement solutions with minimal supervision. This candidate will have a record of accomplishment of participation in successful projects in a fast-paced, mixed team (consultant and employee) environment. In addition, the applicant must be willing to mentor other developers to prepare them for assuming the responsibilities.
</p><p>As a Staff Data Engineer, you will collaborate closely with all team members to create a modular, scalable solution that addresses current needs, but will also serve as a foundation for future success. The position will be critical in building the team&rsquo;s API engineering practices in test driven development, continuous integration, and automated deployment and is a hands-on team member who actively coaches the team to solve complex problems.</p><p><b><br>
</b><b>What you will do:</b></p><p>
The Staff Data Engineer - API serves as a primary development resource for design, writing code, test, implementation, document functionality, and maintain of NextGen solutions for the GCP Cloud enterprise data initiatives. The role requires working closely with data teams, frequently in a matrixed environment as part of a broader project team. This role requires &lsquo;self-starters&rsquo; who are proficient in problem solving and capable of bringing clarity to complex situations. The culture of the organization places an emphasis on teamwork, so social and interpersonal skills are equally important as technical capability. Due to the emerging and fast-evolving nature of GCP technology and practice, the position requires that one stay well-informed of technological advancements and be proficient at putting new innovations into effective practice.</p><p></p><p>
In addition, this candidate will have a history of increasing responsibility in a small multi-role team. This position requires a candidate who can analyze business requirements, perform design tasks, construct, test, and implement solutions with minimal supervision. This candidate will have a record of accomplishment of participation in successful projects in a fast-paced, mixed team (consultant and employee) environment. In addition, the applicant must be willing to mentor other developers to prepare them for assuming the responsibilities.
</p><p></p><p>As a Staff Data Engineer, you will collaborate closely with all team members to create a modular, scalable solution that addresses current needs, but will also serve as a foundation for future success. The position will be critical in building the team&rsquo;s API engineering practices in test driven development, continuous integration, and automated deployment and is a hands-on team member who actively coaches the team to solve complex problems.
</p><p></p><p>At HCA DT&amp;I, your deliverables will influence patient care. Every process, technology, and decision matters. This role will provide application development for specific business environments. Focus on setting technical direction on groups of applications and similar technologies as well as taking responsibility for technically robust solutions encompassing all business, architecture, and technology constraints.
</p><p></p><ul><li>Work with data engineers, data architects, data scientists, and other internal stakeholders to understand product requirements and then design, build, and monitor data platforms and pipelines that meet today's requirements but can gracefully scale.</li><li>
Implement automated workflows that lower manual/operational costs, define and uphold SLAs for timely delivery of data, and move the company closer to democratizing data.</li><li>
Enable a self-service data architecture supporting query exploration, dashboards, data catalog, and rich data discovery.</li><li>
Promote a collaborative team environment that prioritizes effective communication, team member growth, and success of the team over success of the individual.</li><li>
Design and create APIs that accelerate the time from idea to insight.</li><li>
Adheres to and supports API best practices, processes, and standards.</li><li>
Produce high quality, modular, reusable code that incorporates best practices and serves as an example for less experienced engineers.</li><li>
Helps promote and support data security best practices that align with industry standards and regulatory and legal requirements.</li><li>
Help mentor team members on complex data projects and following the Agile process.</li><li>
Help lead data analysis efforts and solution proposals to data related and data architecture problems.</li><li>
Help lead implementation of unit and integration tests and promote and conduct performance testing where appropriate.</li><li>
Be a leader in the HCA data community. Evangelize data engineering best practices and standards, participate, or present at community events, and encourage the continual growth and development of others.</li><li>
Be curious. Be growth minded. Encourage and enable this in others.</li><li>
Demonstrate professional and personal maturity through self-leadership.</li><li>
Build productive and healthy relationships within the department and other teams to foster growth of our culture, our people, and our platforms.</li><li>
Practices and adheres to the &ldquo;Code of Conduct&rdquo; philosophy and &ldquo;Mission and Value Statement.&rdquo;</li><li>
Perform other duties as assigned.</li><li>
Responsible for building and supporting a GCP based ecosystem designed for enterprise-wide analysis of structured, semi-structured, and unstructured data.
</li><li>Work independently, and complete tasks on-schedule by exercising strong judgment and problem-solving skills.</li><li>
Analyze requirements, design AI/ML based solutions, and integrate those solutions for customer environments.</li><li>
Proven experience effectively prioritizing workload to meet deadlines and work objectives.</li><li>
Works in an environment with rapidly changing business requirements and priorities</li><li>
Shares knowledge and experience to contribute to growth of overall team capabilities.</li>
Actively participate in technical group discussions and adopt any modern technologies to improve the development and operations.<br>
<li>
</li></ul><br>
<p></p><h6 class="jobSectionHeader"><b>What qualifications you will need:</b></h6><p>
A successful candidate will have:</p><p></p><ul><li>
Bachelor's degree in computer science, related technical field, or equivalent experience preferred</li><li>
Master's degree in computer science or related field preferred</li><li>
5+ years of experience in Data Engineer required</li><li>
1+ year(s) of experience in Healthcare preferred</li><li>
7+ years of experience in Information Technology required</li><li>
Strong understanding of best practices and standards for GCP or other cloud platform Data process design and implementation.</li><li>
2+ years hands-on experience with GCP platform and experience with many of the following components:</li></ul><p></p><ul><li>Postman, Dynatraceform</li><li>Cloud Run, GKE, Cloud Functions</li><li>Bigtable, Cloud SQL, Cloud Spanner</li><li>BigQuery,Cloud Function</li><li>Cloud Run, CI/CD, Cloud Logging</li><li>Vertex AI, NLP, GitHub</li></ul><p></p><ul><li>
4+ Years of hands-on experience with many of the following components:</li></ul><ul><li>APIs</li><li>Spark Streaming, Kafka</li></ul><p>
SQL, JSON,Avro, Parquet</p><p>
Java, Python, or Scala</p><p>
 Certifications (a plus, but not required):</p><p></p><ul><li>
GCP Cloud Professional Data Engineer</li></ul><p></p><p>
At HCA Healthcare, we are committed to fostering a culture of growth that allows you to build the career of a lifetime. We encourage you to apply for our Staff Data Engineer - APIs today. We review all applications promptly, and qualified candidates will be contacted to continue the process. Join us!</p><p><i>
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.</i></p></div>

Staff Data Engineer - APIs

<div><div><div><div><p>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p>
<div><div><div><h2 class="jobSectionHeader"><b>Location
</b></h2></div><div><p>The Job is located in Charlotte, NC - Hybrid Onsite</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Your Role
</b></h2></div><div><p>We are looking for a motivated Data Engineer with foundational knowledge in Java or Scala and exposure to Apache Spark and Google Cloud Platform GCP This role is ideal for someone eager to build scalable data pipelines and grow in distributed data processing and cloud technologies</p><br>
<p></p><p><b>Required Skill</b></p>
<ul><li>Good understanding of Java or Scala and Python programming</li>
<li>Basic knowledge of Apache Spark Spark SQL DataFrames preferred</li>
<li>Exposure to GCP services such as
<br>
o DataProc
<br>
o BigQuery
<br>
o Cloud Storage</li>
<li>Basic understanding of data streaming concepts</li>
<li>Familiarity with Git for version control</li>
<li>Basic understanding of CICD concepts</li>
<li>Strong problemsolving and debugging skills</li>
</ul></div></div></div><p>The base compensation range for this role in the posted location is: 56186 - 87556</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><br>
<p></p><p><b>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.</b> 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><b>Important Notice:</b> 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><br>
<p></p><p><b>Disclaimers</b></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>Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law</p><br>
<p></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></div></div></div></div><p></p>

Python Data Engineer

Yassir

<div>
 <strong>
  Yassir
 </strong>
 is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in
 <strong>
  45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa
 </strong>
 . It is backed (:
 <strong>
  $200M in funding
 </strong>
 ) by VCs from Silicon Valley, Europe and other parts of the world.
 <br/>
 <br/>
 We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally.
 <br/>
 <br/>
 Helping usher the continent into a digital economy era. We&rsquo;re not just about serving people - we&rsquo;re about creating a marketplace to bring people what they need while infusing social values.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build a centralized data lake on GCP Data services by integrating diverse data sources throughout the enterprise
  </li>
  <li>
   Develop, maintain, and optimize SPARK-powered batch and streaming data processing pipelines. Leverage GCP data services for complex data engineering tasks and ensure smooth integration with other platform components
  </li>
  <li>
   Design and implement data validation and quality checks to ensure data's accuracy, completeness, and consistency as it flows through the pipelines
  </li>
  <li>
   Work with the Data Science and Machine Learning teams to engage in advanced analytics
  </li>
  <li>
   Collaborate with cross-functional teams, including data analysts, business users, operational and marketing teams, to extract insights and value from data
  </li>
  <li>
   Collaborate with the product team to design, implement, and maintain the data models for analytical use cases
  </li>
  <li>
   Design, develop, and upkeep data dashboards for various teams using Looker Studio
  </li>
  <li>
   Engage in technology explorations, research and development, POC&rsquo;s and conduct deep investigations and troubleshooting
  </li>
  <li>
   Design and manage ETL/ELT processes, ensuring data integrity, availability, and performance
  </li>
  <li>
   Troubleshoot data issues and conduct root cause analysis when reporting data is in question
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Technical Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   PySpark  Batch and Streaming
  </li>
  <li>
   GCP  Dataproc, Dataflow, DataStream, Dataplex, Pub/Sub, BigQuery and
  </li>
  <li>
   Cloud Storage
  </li>
  <li>
   NoSQL (preferably MongoDB
  </li>
  <li>
   Programming languages: Scala/Python
  </li>
  <li>
   Great Expectation, or similar DQ framework
  </li>
  <li>
   Familiarity with workflow management tools like: Airflow, Prefect or Luigi
  </li>
  <li>
   Understanding of Data Governance, Data Warehousing and Data Modelling
  </li>
  <li>
   Good SQL knowledge
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Business
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Able to communicate effectively, distill technical knowledge into digestible
  </li>
  <li>
   messages in a succinct / visual way
  </li>
  <li>
   Proactively identify and contribute with team development initiatives, and
  </li>
  <li>
   supporting junior members
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Good To Have Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Infrastructure-as-Code, preferably Terraform
  </li>
  <li>
   Docker and Kubernetes
  </li>
  <li>
   Looker
  </li>
  <li>
   AI / ML engineering knowledge
  </li>
  <li>
   Lineage, or relevant tools e.g. Atlan
  </li>
  <li>
   DBT
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 At Yassir, we believe in the power of diversity and the importance of an inclusive culture. So, if you're ready to bring your unique perspective and experiences to the table, then we're excited to listen.
 <br/>
 <br/>
 Don't just apply for a job, come and be a part of our journey. Let's create a better tomorrow together.
 <br/>
 <br/>
 We look forward to receiving your application!
 <br/>
 <br/>
 Best of luck,
 <br/>
 <br/>
 Your Yassir TA Team
 <br/>
 <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>


Mid/Senior Data Engineer

Exert Infotech LLC

<div>
 <p>
  📢 Hiring: Data Engineer (Entry-Level) &ndash; USA 🇺🇸
 </p>
 <p>
  <strong>
   🎓 Open to Dec 2025 &amp; May Graduates | Visa Sponsorship Available
  </strong>
 </p>
 <p>
  We are actively looking for
  <strong>
   motivated and detail-oriented Data Engineer graduates
  </strong>
  to join our growing team in the United States. If you are passionate about data, cloud technologies, and building scalable pipelines &mdash; this is a great opportunity to kickstart your career.
 </p>
 <p>
  🔹 Role: Data Engineer (Entry-Level)
 </p>
 <p>
  📍 Location: United States (Onsite / Hybrid / Remote options available)
 </p>
 <p>
  🎓 Eligibility: Graduating in
  <strong>
   Dec 2025 or May 2026
  </strong>
 </p>
 <p>
  💼 Job Type: Full-time
 </p>
 <p>
  🌍 Work Authorization:
  <strong>
   OPT / CPT / STEM OPT / GC/ US Citizen
  </strong>
 </p>
 <p>
  🔧 Key Responsibilities:
 </p>
 <ul>
  <li>
   Design, build, and maintain scalable
   <strong>
    data pipelines
   </strong>
  </li>
  <li>
   Work with large datasets using
   <strong>
    SQL, Python, or Spark
   </strong>
  </li>
  <li>
   Support
   <strong>
    ETL/ELT processes
   </strong>
   and data integration
  </li>
  <li>
   Collaborate with data analysts and business teams
  </li>
  <li>
   Ensure
   <strong>
    data quality, governance, and performance optimization
   </strong>
  </li>
 </ul>
 <p>
  🛠️ Required Skills:
 </p>
 <ul>
  <li>
   Strong knowledge of
   <strong>
    SQL &amp; Python
   </strong>
  </li>
  <li>
   Understanding of
   <strong>
    Data Structures &amp; Algorithms
   </strong>
  </li>
  <li>
   Familiarity with
   <strong>
    cloud platforms
   </strong>
   (AWS / Azure / GCP)
  </li>
  <li>
   Exposure to tools like
   <strong>
    Apache Spark, Hadoop, Snowflake
   </strong>
  </li>
  <li>
   Basic understanding of
   <strong>
    data warehousing concepts
   </strong>
  </li>
 </ul>
 <p>
  ⭐ Preferred Qualifications:
 </p>
 <ul>
  <li>
   Internship/project experience in data engineering or analytics
  </li>
  <li>
   Knowledge of
   <strong>
    Airflow, Kafka, or DBT
   </strong>
  </li>
  <li>
   Experience with
   <strong>
    real-time data processing
   </strong>
  </li>
 </ul>
 <p>
 </p>
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Jr Data Engineer

Soothsayer Analytics

<div><div><div><p>Company : <b>Soothsayer Analytics</b></p>
<p>Working Hours : <b>Full Time</b></p>
<p>Locations : <b>Hyderabad</b></p>
<p>Experience : <b>4&ndash;6 Years</b></p><p><br>
</p></div>
</div><b>About the Role:
</b><div><div><p>Soothsayer Analytics is a global AI &amp; Data Science consultancy headquartered in Detroit, with a thriving delivery center in Hyderabad. We design and deploy end-to-end custom Machine Learning &amp; GenAI solutions&mdash;spanning predictive analytics, optimization, NLP, and enterprise-scale AI platforms&mdash;that help leading enterprises forecast, automate, and gain a competitive edge.
</p><p>As a Data Engineer, you will build the foundation that powers these AI systems&mdash;scalable, secure, and high-performance data pipelines.
</p><h5 class="jobSectionHeader"><b>Job Overview</b></h5>
<p>We seek a Data Engineer (Mid-level) with 4&ndash;6 years of hands-on experience in designing, building, and optimizing data pipelines. You will work closely with AI/ML teams to ensure data availability, quality, and performance for analytics and GenAI use cases.
</p><h5 class="jobSectionHeader"><b>Key Responsibilities</b></h5>
<p><b>1. Data Pipeline Development</b></p>
<ul><li>Build and maintain scalable ETL/ELT pipelines for structured and unstructured data.</li>
<li>Ingest data from diverse sources such as APIs, streaming, and batch systems.</li>
</ul><p><b>2. Data Modeling &amp; Warehousing</b></p>
<ul><li>Design efficient data models to support analytics and AI workloads.</li>
<li>Develop and optimize data warehouses/lakes using Redshift, BigQuery, Snowflake, or Delta Lake.</li>
</ul><p><b>3. Big Data &amp; Streaming</b></p>
<ul><li>Work with distributed systems like Apache Spark, Kafka, or Flink for real-time and large-scale data processing.</li>
<li>Manage feature stores for machine learning pipelines.</li>
</ul><p><b>4. Collaboration &amp; Best Practices</b></p>
<ul><li>Work closely with Data Scientists and ML Engineers to ensure high-quality training data.</li>
<li>Implement data quality checks, observability, and governance frameworks.</li>
</ul><h5 class="jobSectionHeader"><b>Required Skills &amp; Qualifications</b></h5>
<ul><li><b>Education:</b> Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Engineering, or related field.</li>
<li><b>Experience:</b> 4&ndash;6 years in data engineering with expertise in:</li>
</ul><ul><li><b>Programming:</b> Python, Scala, or Java (Python preferred)</li>
<li><b>Big Data &amp; Processing:</b> Apache Spark, Kafka, Hadoop</li>
<li><b>Databases:</b> SQL and NoSQL (Postgres, MongoDB, Cassandra)</li>
<li><b>Data Warehousing:</b> Snowflake, Redshift, BigQuery, or similar</li>
<li><b>Orchestration:</b> Airflow, Luigi, or similar</li>
<li><b>Cloud Platforms:</b> AWS, Azure, or GCP (data services)</li>
<li><b>Version Control &amp; CI/CD:</b> Git, Jenkins, GitHub Actions</li>
<li><b>MLOps / GenAI Pipelines:</b> Feature engineering, embeddings, vector databases</li>
</ul><h5 class="jobSectionHeader"><b>Skills Matrix</b></h5>
<div><div><div><div><div><b>Skill</b></div> <div><b>Details</b></div> <div><b>Last Used</b></div> <div><b>Experience (Months)</b></div> <div><b>Self-Rating (0&ndash;10)</b></div>
</div><br>
</div><div><div><div>Python</div>
</div><br>
<div></div><div><div>SQL / NoSQL</div>
</div><br>
<div></div><div><div>Apache Spark</div>
</div><br>
<div></div><div><div>Kafka</div>
</div><br>
<div></div><div><div>Data Warehousing (Snowflake, Redshift, etc.)</div>
</div><br>
<div></div><div><div>Orchestration (Airflow, Luigi, etc.)</div>
</div><br>
<div></div><div><div>Cloud (AWS / Azure / GCP)</div>
</div><br>
<div></div><div><div>Data Quality / Governance Tools</div>
</div><br>
<div></div><div><div>MLOps / LLMOps</div>
</div><br>
<div></div><div><div>GenAI Integration</div>
</div><br>
</div></div></div><div></div><h5 class="jobSectionHeader"><b>Instructions for Candidates</b></h5>
<ul><li>Provide a detailed resume highlighting end-to-end data engineering projects.</li>
<li>Fill out the above skills matrix with accurate dates, duration, and self-ratings.</li></ul></div></div></div>

Data Engineer

Hire Hangar

<div><p>Join Hire Hangar and work with fast-growing global companies while building a long-term, remote career.</p><p><b>
Job Title</b> Data Engineer &ndash; Tech Industry</p><p><b>
Location</b> Remote</p><p><b>
Time Zone</b> US Time Zones (EST&ndash;PST)</p><p><b>
Role Overview</b> We are seeking a skilled and detail-oriented Data Engineer to design, build, and maintain scalable data infrastructure for a fast-growing tech company. This is a full-time role requiring deep technical expertise in data pipelines, warehousing, and architecture. The ideal candidate is analytical, collaborative, and comfortable working across large datasets while partnering with data science, product, and engineering teams to deliver reliable, high-quality data solutions.</p><p><b>
Key Responsibilities</b></p><ul><li><p>
Design, build, and maintain robust, scalable data pipelines and ETL/ELT workflows</p></li><li><p>
Develop and manage data warehousing solutions to support business intelligence and analytics needs</p></li><li><p>
Ensure data quality, integrity, and availability across all data systems and sources</p></li><li><p>
Collaborate with data scientists, analysts, and product teams to understand and fulfill data requirements</p></li><li><p>
Optimize query performance and database architecture for speed and efficiency</p></li><li><p>
Monitor, troubleshoot, and resolve data pipeline failures and incidents</p></li><li><p>
Implement and enforce data governance, security, and compliance best practices</p></li><li><p>
Document data models, processes, and infrastructure to support team knowledge sharing</p></li></ul><p><b>
Required Qualifications</b></p><ul><li><p>
4+ years of experience as a Data Engineer or in a similar data infrastructure role within a tech company (non-negotiable)</p></li><li><p>
Strong proficiency in SQL and at least one programming language such as Python or Scala</p></li><li><p>
Hands-on experience building and managing ETL/ELT pipelines using tools such as Apache Airflow, dbt, or similar</p></li><li><p>
Experience with cloud data platforms such as AWS, GCP, or Azure, and data warehouses such as Snowflake, BigQuery, or Redshift</p></li><li><p>
Solid understanding of data modeling, schema design, and database optimization</p></li><li><p>
Strong problem-solving skills with the ability to manage complex, high-volume data environments</p></li><li><p>
Must have prior remote work experience, be fluent with remote collaboration tools and platforms (such as Slack, Zoom, Google Workspace, Asana, or similar), and have ideally worked with US or UK-based companies. Applications without this experience will not be considered.</p></li></ul><p><b>
Preferred Qualifications</b></p><ul><li><p>
Experience with real-time or streaming data pipelines using tools such as Kafka or Spark</p></li><li><p>
Familiarity with data lakehouse architectures (e.g., Delta Lake, Apache Iceberg)</p></li><li><p>
Exposure to machine learning workflows and supporting ML data infrastructure</p></li><li><p>
Experience working in an Agile or DevOps environment with CI/CD practices applied to data workflows</p></li></ul><p><b>
Tools &amp; Technology</b></p><ul><li><p>
Python, SQL, or Scala</p></li><li><p>
Apache Airflow, dbt, or equivalent pipeline orchestration tools</p></li><li><p>
Snowflake, BigQuery, or Redshift</p></li><li><p>
AWS, GCP, or Azure</p></li><li><p>
Kafka or Spark (advantageous)</p></li><li><p>
Google Workspace</p></li><li><p>
Slack, Zoom, Jira, and other remote collaboration tools</p></li></ul><p><b>
Please NOTE</b></p><p>
It is crucial that you complete the application form in full. As part of the application process, you will be required to record a video. If your application is successful, you will receive an email confirming next steps&mdash;the video is the first step of the interview process. If you do not record a video, we will not be able to consider you for ANY open roles.</p><p>
We connect top talent with vetted employers, competitive pay, and real growth opportunities.</p></div>

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