data engineering

HHAeXchange

<div><div>HAeXchange is the leading technology platform for home and community-based care. Founded in 2008, HHAeXchange was born out of an idea to create a fully comprehensive end-to-end homecare solution to help people who are aging or have disabilities thrive in their homes and communities. Our employees are passionate about transforming the healthcare space by building the only homecare ecosystem that fully connects patients, personal care providers, managed care organizations, and states.</div><div>
</div><div>
The Director, Data Engineering leads the teams responsible for building and maintaining our core Analytics data platform, including business analytics, reporting, visualization and data analysis capabilities.
</div><div>
</div><div>To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily with or without reasonable accommodation. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</div><div></div><div><br>
This is a hybrid position based out of our Midtown Manhattan, Washington D.C. or Bloomington, MN office locations, with an on-site presence required two days per week to support team collaboration.</div>
<h3 class="jobSectionHeader"><b>Essential Job Duties</b></h3><ul><li><b>
Strategy &amp; Leadership:</b></li><li>
Define and execute the strategic roadmap for our enterprise data platform, aligning with product, compliance, and business objectives.</li><li>
Lead and mentor a cross-functional team including data engineers, BI analysts, and data architects.</li><li>
Collaborate with senior leadership, product management, and other stakeholders to translate business needs into scalable data solutions.</li><li>
Advocate for data governance, privacy, and security in accordance with HIPAA and other healthcare regulations.</li><li><b>
Data Engineering &amp; Architecture:</b></li><li>
Oversee the design, implementation, and optimization of scalable data pipelines (ETL/ELT) that support internal analytics and product features.</li><li>
Manage the development of our Data Lake implementation, consolidating data that originates in one of the 7 software platforms that we support into a single unified store of information</li><li>
Ensure data infrastructure supports near real-time and batch processing for diverse use cases including analytics, machine learning, and customer reporting.</li><li><b>
Business Intelligence &amp; Reporting:</b></li><li>
Build and evolve a centralized BI function that supports self-service reporting and interactive dashboards for internal and external stakeholders.</li><li>
Own the architecture and lifecycle of reporting tools (e.g., Looker, Power BI, Tableau) and data visualization best practices.</li><li>
Establish KPI definitions, data quality standards, and reliable data access layers for cross-functional reporting.</li><li><b>
Compliance &amp; Operations:</b></li><li>
Ensure all data practices comply with relevant regulations (HIPAA, SOC 2, HITRUST) and industry standards.</li><li>
Develop and manage SLAs for data availability, reliability, and accuracy.</li><li>
Define and implement monitoring, alerting, and observability across the data ecosystem.</li><li><b>
Team Building &amp; Execution:</b></li><li>
Build a high-performing team through hiring, mentorship, career development, and performance management.</li><li>
Manage project prioritization, resource allocation, and execution timelines to deliver against commitments.</li><li>
Foster a culture of ownership, continuous improvement, and cross-functional collaboration.</li></ul><h3 class="jobSectionHeader"><b>
Other Job Duties</b></h3><ul><li>
Other duties as assigned by supervisor or HHA exchange leader.</li></ul><h3 class="jobSectionHeader"><b>
Travel Requirements</b></h3><ul><li>
Travel up to 10%, including overnight travel</li></ul><h3 class="jobSectionHeader"><b>
Required Education, Experience, Certifications and Skills</b></h3><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.</li><li>
10+ years of experience in data engineering, data architecture, or BI in high-scale SaaS or cloud environments.</li><li>
5+ years in a people leadership role, ideally including Director-level experience managing diverse technical teams.</li><li>
Proven experience with modern data platforms and cloud-native technologies (e.g., AWS, Azure, GCP, Snowflake, Databricks, dbt, Kafka).</li><li>
Strong proficiency in SQL, data modeling, and distributed data systems.</li><li>
Experience with BI and reporting tools (e.g., Looker, Tableau, Power BI) and setting up scalable reporting systems.</li><li>
Deep understanding of data privacy, security, and compliance frameworks relevant to healthcare (HIPAA, HITRUST, etc.).</li><li>
Strong communication and stakeholder management skills across technical and non-technical audiences.</li><li>
Experience working in a healthcare technology company or with clinical data (EHR, HL7/FHIR).</li><li>
Familiarity with machine learning operations and enabling data science workflows.</li><li>
Experience with DataOps, observability, and CI/CD practices for data platforms</li></ul><div>
The base salary range for this US-based, full-time, and exempt position is $180,000-195,000/yr not including variable compensation. An employee&rsquo;s exact starting salary will be based on various factors including but not limited to experience, education, training, merit, location, and the ability to exemplify the HHAeXchange core values.</div><div>
</div><div>
This is a benefits-eligible position. HHAeXchange offers competitive health plans, paid time-off, company paid holidays, 401K retirement program with a Company elected match, including other company sponsored programs.</div><div></div><div><i><br>
HHAeXchange is an equal-opportunity employer. The Company offers employment opportunities to all applicants and employees without regard to race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, marital status, veteran status, citizenship, genetic information, hairstyles, or any other status protected by local or federal law.</i></div></div><br /> <div id='job-id'>Job Id: b8w+T/1T5ZgOoabX9WqyOf4Shz96QOocRPShva2vPJ1CZgKY/yVkjWpKRT4RwaOiJCgF1CPhoHIqMRcK5EStEX9oMeDpCdg/dI4eQl3EH4Fc5I3Zp8DgWwXL8vBnA1gKbrFxE/7maYAfgS21fdHyjxSOiNg33g==</div>

Director, Data Engineering

REPS & Co.

<div><p>Founded in 2017, REPS &amp; Co. has rapidly become a leader in data analytics in the entertainment industry. Recognized on the Forbes list of America's Best Startup Employers, we focus on delivering advanced analytics that supports data-driven decisions. Our solutions provide comprehensive insights and forecasts, enabling us to have a better understanding and response to supply and demand in the ticketing world. With a commitment to driving innovation, REPS &amp; Co. helps shape a dynamic market environment.</p>
<p>
We are looking for an organized, experienced, and driven Team Lead for our Data Engineering team. The Lead will be responsible for delivering great code and pushing forward our software. They will also combine deep technical expertise (~75%) with leadership and mentoring(~25%) to shape the future of our data infrastructure. The ideal candidate for this position is a self-starter who can work well in a fast-paced environment. We are looking for creative problem solvers and diverse thinkers, people who care about culture as well as customers and features. We believe that how we do things is as important as what we do. You are an inventive, industrious builder who loves all things technology and you are capable of on-time execution. Good strategic thinking, passion for quality, curiosity, and dedication. Great products reflect the teams that build them.</p>
<p><b>
The ideal candidate will be responsible for:</b></p>
<ul>
<li>Lead &amp; Manage the Team: Supervise and mentor a team of 2 Data Engineers and 1 Cloud Engineer, fostering growth and collaboration. (You&rsquo;ll report directly to the CTO.)</li>
<li>Build Robust Data Pipelines: Drive the development and optimization of data pipelines, architectures, and ETL/ELT processes to ensure high-quality data flow and easy access to insights across the company.</li>
<li>Modernize Our Data Platform: Own and guide the migration from unstructured data environments without a cohesive infrastructure, to a new, simplified data model. Design and implement scalable data solutions (data warehouses, data lakes, etc.) using best practices in data engineering.</li>
<li>Cross-Team Data Integration: Ensure seamless integration of data across various teams. Enable a decentralized data engineering approach by equipping other teams with the tools and standards to handle their data needs while maintaining overall data consistency.</li>
<li>Technical Strategy &amp; Innovation: Evaluate and recommend the best data technologies for the job. Leverage AWS services (Redshift, Glue, Lambda, S3, etc.) and introduce non-AWS solutions when they provide a clear benefit (Snowflake, Databricks, etc). Keep our tech stack modern, scalable, and aligned with business goals.</li>
<li>Stakeholder Collaboration: Act as the primary interface between the data engineering team and business stakeholders. Proactively gather requirements, manage expectations, and translate ambiguous or evolving business needs into actionable data projects and deliverables.</li>
<li>Data Quality &amp; Performance: Uphold high standards for data quality, security, and performance. Optimize data architectures and queries for efficiency, and troubleshoot issues to maintain smooth operations.</li>
<li>On-time delivery of quality software based on various cloud architecture</li>
<li>Willingness to collaborate with and mentor your teammates to help them do the same</li>
</ul>
<p><b>Qualifications:</b></p>
<ul>
<li>Technical Leadership Experience: Proven experience as the senior or lead engineer on a data engineering team, with exceptional skills in designing data pipelines and building cloud-based architectures.</li>
<li>Data Warehouse &amp; Lake Expertise: Strong background in implementing data warehouses and data lakes, with the insight to choose the right approach for a given scenario.</li>
<li>Cloud &amp; Tools Proficiency: Extensive hands-on experience with AWS data services (Redshift, Glue, Lambda, S3, etc.). Open mindset towards incorporating the best non-AWS technologies (Snowflake, BigQuery, Spark, etc.) when appropriate.</li>
<li>Programming &amp; Database Skills: Expertise in SQL databases, Python programming, and distributed computing frameworks (e.g. Spark or Hadoop). Ability to architect and optimize complex data transformations.</li>
<li>Problem Solver &amp; Owner: Excellent problem-solving skills with a track record of taking ownership in fast-paced, evolving environments. You can navigate unclear requirements and still drive projects to completion that deliver business value.</li>
<li>Leadership &amp; Mentorship: Strong leadership, communication, and people skills. Experience mentoring engineers and elevating the technical bar for a team. Able to foster a culture of collaboration, continuous learning, and high performance.</li>
<li>Stakeholder Management: Demonstrated ability to work with stakeholders who may have shifting or not-yet-defined needs. You&rsquo;re proactive in eliciting requirements and can communicate complex data concepts in clear, non-technical terms.</li>
<li>Knowledge of agile and Scrum principles and a willingness to hone your use of agile methods</li>
<li>Strong team-oriented mindset with a heavy focus on collaboration and mentorship</li>
<li>Strong communication and interpersonal skills (integrity, patience, empathy, etc.)</li>
<li>Be a quick learner, hard worker, and problem solver</li>
</ul>
<p><b>Benefits</b></p>
<ul>
<li>Medical, Dental, and Vision insurance</li>
<li>Sick Leave</li>
<li>Paid Holidays</li>
<li>Volunteer Time Off</li>
<li>401k with Match</li>
<li>ESOP</li>
<li>Parental Leave</li>
<li>100% Employer Paid Life Insurance &amp; Long Term Disability</li>
<li>EAP Program</li>
<li>Bonus</li>
<li>Gym Membership Reimbursement</li>
<li>Ticket Benefits</li>
</ul>
<p><b>#Li-Remote</b></p></div><p></p><br /> <div id='job-id'>Job Id: Gpe0e0YX5HABTBtmZkbR5y2PwkUFgN1cI6R3btiNCdFUy89SrlpmXo/nXSacwXow+2iLZE9quvTXGdpXKdXamR+DsfgMIvNHH55GLmhfcDf/dqMhqJPTJds=</div>

Team Lead - Data Engineering

Wells Fargo

<div><b>About this role:</b><br>
<br>
Wells Fargo is seeking a Data Engineering Senior Manager that will be focused on Authorized Data Source and Data Center Cloud migration strategy.<br>
<br>
<b>In this role, you will:</b><ul><li>
Manage and develop teams of data engineers in roles with moderate complexity risk</li><li>
Engage and influence internal partners and peers associated with the data technology function</li><li>
Identify and recommend opportunities for data engineering process improvement and risk control development</li><li>
Own data environments, integrate with new technologies and oversee the development of new processes that support teams across the organization</li><li>
Gather requirements through direct interaction with business</li><li>
Delegate all appropriate work streams to internal technical and product resources on each project and manage deadlines and deliverable quality associated with each work stream</li><li>
Determine appropriate strategy and actions of the data engineering team to meet moderate to high-risk deliverables</li><li>
Interpret and develop data policies and procedures for Technology with moderate complexity</li><li>
Collaborate with supervisors or managers to monitor issues and to ensure quality and efficiency in the Technology functional area</li><li>
Manage allocation of people and financial resources for Data Engineering Management to ensure commitments are met and align with strategic objectives</li><li>
Develop and guide a culture of talent development to meet business objectives and strategy</li></ul><b>
Required Qualifications:</b><ul><li>
6+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li><li>
3+ years of management or leadership experience</li><li>
3 years of experience building enterprise solutions using multiple diverse tools and programming languages including Cloud Azure or GCP, Big Data Hadoop solutions, SPARK, Tableau, Data Warehousing, Data microservices, API product architecture and design</li><li>
1+ year of experience in leading and delivering cloud-based Gen AI solutions</li></ul><b>
Desired Qualifications:</b><ul><li>
Advanced level expertise in building high performance data and analytical products
</li><li>Ability to conduct technical training sessions for technical and line of business users technical leadership or architecture experience, in Data Engineering, Data Management, ETL, Big Data Hadoop, AI/ML capabilities
</li></ul><b>Job Expectations:</b><ul><li>
This position offers a hybrid work schedule</li><li>
Relocation assistance is not available for this position</li></ul><b>
Locations:
</b><ul><li>300 S. Brevard St., Charlotte, North Carolina</li><li>
194 S Wood Ave., Iselin, New Jersey
</li></ul><b>Pay Range</b><br>
<br>
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.<br>
$144,400.00 - $300,000.00<br>
<b>Benefits
</b><br>
<br>
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.<ul><li>
Health benefits</li><li>
401(k) Plan</li><li>
Paid time off</li><li>
Disability benefits</li><li>
Life insurance, critical illness insurance, and accident insurance</li><li>
Parental leave</li><li>
Critical caregiving leave</li><li>
Discounts and savings</li><li>
Commuter benefits</li><li>
Tuition reimbursement</li><li>
Scholarships for dependent children</li><li>
Adoption reimbursement</li></ul><b>
Posting End Date:</b><br>
7 Jul 2025<br>
<ul><li><b>Job posting may come down early due to volume of applicants.
</b></li></ul><br>
<b>We Value Equal Opportunity</b><br>
<br>
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.<br>
<br>
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.<br>
<br>
<b>Applicants with Disabilities</b><br>
<br>
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .<br>
<br>
<b>Drug and Alcohol Policy</b><br>
<br>
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.<br>
<br>
<b>Wells Fargo Recruitment and Hiring Requirements:</b><br>
<br>
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.<br>
<br>
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</div><br /> <div id='job-id'>Job Id: i7WeQhU+eNoNfW+eQVI74TALkcEJQuiLWGyruPu0+atqKKnxdn6gIeE70B40iqwioj22ungyjr8YuIeisWIKLP+zkP3flXfpmYLiwN+UF8kIWhupWFcaXlbEZPJaM/gc6W6rmNrRV42C4jXBe2X38UEvI6n5e4AUWUg/BaJ77PB3c5clAB/+WMsm89IunN7OUJRbfkG1eDqu6Q==</div>

Senior Data Engineering Manager

CompassX Group

<div>
 About Us:
 <br/>
 <br/>
 At CompassX, our clients rely on us to lead high-priority strategic initiatives and transformational projects. Our mission is to create a community of people who come up with innovative approaches and deliver the best outcomes for our clients.
 <br/>
 <br/>
 You will have the opportunity to leverage your experience, creativity, and skills to impact your clients and influence the trajectory of our firm to achieve growth for the team and your career.
 <br/>
 <br/>
 We are honored to be recognized as a &ldquo;Best Place to Work&rdquo; in Southern California and listed as one of INC.&rsquo;s 5000 fastest-growing private companies in the U.S.
 <br/>
 <br/>
 The Data Solutions team has a strong track record of partnering with companies to drive meaningful outcomes and accelerate their ability to increase output by maturing their ways of working. By elevating teams through a focus on data as assets, CompassX has helped transform companies into data driven organizations that make better decisions.
 <br/>
 <br/>
 We help our clients understand that the data journey is an ongoing process, and we strive to provide solutions that empower them to take ownership and operate them independently.
 <br/>
 <br/>
 What will you do?
 <br/>
 <br/>
 Help our clients solve some of their most complex data engineering and analytics challenges through providing them with a unique perspective on how their organization can leverage the latest tools and technologies.
 <br/>
 <br/>
 Blend your passion for technology, expertise in Data and Analytics, and your excellent consulting skills to design, develop, and implement technical components of data solutions including data modelling, ETL, Reporting and Infrastructure as well as their integration.
 <br/>
 <br/>
 Use your deep understanding of the architecture for enterprise level data warehouse solutions using multiple platforms (RDBMS, Columnar, Cloud) and be confident in building efficient, flexible, extensible, and scalable ETL and reporting solutions.
 <br/>
 <br/>
 Use your enthusiasm about learning new technologies to implement solutions that provide new functionality to the users or to scale the existing platform.
 <br/>
 <br/>
 This is a high visibility role where you will be working closely with our leader of Data Solutions, and CompassX founders in a growing practice with opportunities to enhance your skill set and build your career.
 <br/>
 <br/>
 Also, as a valued member of the company, we would invite you to contribute to the growth of the firm. Your participation could be on the account, practice areas, recruiting, mentoring, or internal initiatives.
 <br/>
 <br/>
 <strong>
  What do you bring?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experienced consultant who is able to work independently with clients
  </li>
  <li>
   Ideally, 5+ years of Data Engineering expertise which spans modern ETL tooling and ingestion patterns with strong coding (especially Python or SQL)
  </li>
  <li>
   Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
  </li>
  <li>
   Passion for exploring new technologies and ability to solution with at least one of major cloud providers (e.g. AWS, GCP, or Azure)
  </li>
  <li>
   Successfully able to lead a team of developers to successful completion of complex projects
  </li>
  <li>
   Track record of developing and deploying end to end data solutions that solve challenging business problems
  </li>
  <li>
   Confident approach to consult with clients to truly understand the business problems that technical solutions will solve
  </li>
  <li>
   Clear communicator who can interact and influence a variety of both technical and business stakeholders
   <br/>
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What makes a great CompassX team member?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Passionate about excellent customer experience through your client interactions and deliverables
  </li>
  <li>
   Excited for growth and open to change
  </li>
  <li>
   Deeply interested in being a team player and building relationships
  </li>
  <li>
   Proactive in taking on responsibilities and accountability
  </li>
  <li>
   Dedicated and driven towards achieving goals
   <br/>
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What do I get?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive base salary plus a generous upside variable compensation model
  </li>
  <li>
   Annual performance reviews that are straightforward and transparent
  </li>
  <li>
   PTO plus holidays plus sick time
  </li>
  <li>
   Sabbatical program
  </li>
  <li>
   Health, dental, vision, term life, AD&amp;D
  </li>
  <li>
   Retirement plan with company matching
  </li>
  <li>
   Continuous education investments to grow your skills &amp; knowledge
  </li>
  <li>
   Small firm feel and direct relationships with the Executive Leadership Team
  </li>
  <li>
   Opportunity to design and build a firm
  </li>
  <li>
   Remote working options
  </li>
  <li>
   Opportunity to build a professional network in your own community
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
</div>
<br /> <div id='job-id'>Job Id: tIG4QA413J6XTpWW4eaxMuh+gNeFO5YZe91r/Hh1/XwPJmdW7eRVnzEdLsDW40+Pjfmp4z9uGXN5drqRIbqTfdBgXZblTOEuyg==</div>

Senior Consultant - Data Engineering

<div><b>About this role:</b><br>
<br>
Wells Fargo is seeking a Data Engineering Senior Manager that will be focused on Authorized Data Source and Data Center Cloud migration strategy.<br>
<br>
<b>In this role, you will:</b><ul><li>
Manage and develop teams of data engineers in roles with moderate complexity risk</li><li>
Engage and influence internal partners and peers associated with the data technology function</li><li>
Identify and recommend opportunities for data engineering process improvement and risk control development</li><li>
Own data environments, integrate with new technologies and oversee the development of new processes that support teams across the organization</li><li>
Gather requirements through direct interaction with business</li><li>
Delegate all appropriate work streams to internal technical and product resources on each project and manage deadlines and deliverable quality associated with each work stream</li><li>
Determine appropriate strategy and actions of the data engineering team to meet moderate to high-risk deliverables</li><li>
Interpret and develop data policies and procedures for Technology with moderate complexity</li><li>
Collaborate with supervisors or managers to monitor issues and to ensure quality and efficiency in the Technology functional area</li><li>
Manage allocation of people and financial resources for Data Engineering Management to ensure commitments are met and align with strategic objectives</li><li>
Develop and guide a culture of talent development to meet business objectives and strategy</li></ul><b>
Required Qualifications:</b><ul><li>
6+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li><li>
3+ years of management or leadership experience</li><li>
3 years of experience building enterprise solutions using multiple diverse tools and programming languages including Cloud Azure or GCP, Big Data Hadoop solutions, SPARK, Tableau, Data Warehousing, Data microservices, API product architecture and design</li><li>
1+ year of experience in leading and delivering cloud-based Gen AI solutions</li></ul><b>
Desired Qualifications:</b><ul><li>
Advanced level expertise in building high performance data and analytical products
</li><li>Ability to conduct technical training sessions for technical and line of business users technical leadership or architecture experience, in Data Engineering, Data Management, ETL, Big Data Hadoop, AI/ML capabilities
</li></ul><b>Job Expectations:</b><ul><li>
This position offers a hybrid work schedule</li><li>
Relocation assistance is not available for this position</li></ul><b>
Locations:
</b><ul><li>300 S. Brevard St., Charlotte, North Carolina</li><li>
194 S Wood Ave., Iselin, New Jersey
</li></ul><b>Pay Range</b><br>
<br>
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.<br>
$144,400.00 - $300,000.00<br>
<b>Benefits
</b><br>
<br>
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.<ul><li>
Health benefits</li><li>
401(k) Plan</li><li>
Paid time off</li><li>
Disability benefits</li><li>
Life insurance, critical illness insurance, and accident insurance</li><li>
Parental leave</li><li>
Critical caregiving leave</li><li>
Discounts and savings</li><li>
Commuter benefits</li><li>
Tuition reimbursement</li><li>
Scholarships for dependent children</li><li>
Adoption reimbursement</li></ul><b>
Posting End Date:</b><br>
7 Jul 2025<br>
<ul><li><b>Job posting may come down early due to volume of applicants.
</b></li></ul><br>
<b>We Value Equal Opportunity</b><br>
<br>
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.<br>
<br>
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.<br>
<br>
<b>Applicants with Disabilities</b><br>
<br>
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .<br>
<br>
<b>Drug and Alcohol Policy</b><br>
<br>
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.<br>
<br>
<b>Wells Fargo Recruitment and Hiring Requirements:</b><br>
<br>
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.<br>
<br>
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</div><br /> <div id='job-id'>Job Id: Y9suJ1s/FW6eFCRMkE0ZOZI2CPIEX2eEXibsDkPXOGN6BhRvW7wND/hw5oQH0NunoAZt0zEedsEFF7MzdSYZv7e+BGCSfvd2Bh5tvVfx3mwWwspbxoodrnIujpm6Wzn4gKWx/NmtgV4Zh93T6NLPRMG1SF9/eXbdC5z6UreDZzF7lIBilN5o9wlyo6wj8sN6ZJaZM53GybIBdw==</div>

Confiz

<div><p>We are seeking a Data Engineering Lead with 8+ years of hands-on experience and a strong background in real-time and batch data processing, containerization, and cloud-based data orchestration. This role is ideal for someone passionate about building robust, scalable, and efficient data pipelines, and who thrives in agile, collaborative environments.</p>
<p><b>Key Responsibilities</b></p>
<ul><li>Design, build, and maintain real-time data pipelines using streaming frameworks such as Kafka, Apache Flink, and Spark Structured Streaming.</li>
<li><ul><li>Develop batch processing workflows with Apache Spark (PySpark)</li></ul></li>
<li>Orchestrate and schedule data workflows using orchestration frameworks such as Apache Airflow and Azure Data Factory</li>
<li>Containerize applications using Docker, manage deployments with Helm, and run them on Kubernetes</li>
<li>Implement modern storage solutions using open formats such as Parquet, Delta Lake, and Apache Iceberg</li>
<li>Build high-performance analytics engines using tools like Trino or Presto</li>
<li>Collaborate with DevOps to manage infrastructure with Terraform and integrate with CI/CD pipelines via Azure DevOps</li>
<li>Ensure data quality and consistency using tools like Great Expectations</li>
<li>Write modular, well-tested, and maintainable Python and SQL code</li>
<li>Develop an observability layer to monitor and optimize performance across data pipelines</li>
<li>Participate in agile ceremonies and contribute to sprint planning and reviews</li>
</ul>
<p><b>Required Skills &amp; Experience</b></p>
<ul><li>Advanced Python programming with a strong focus on modular and testable code</li>
<li>Strong knowledge of SQL and experience working with large-scale datasets</li>
<li>Hands-on experience with at least one major cloud platform (Azure preferred)</li>
<li>Solid experience with real-time data processing (Kafka, Flink, or Spark Streaming)</li>
<li>Expertise in Apache Spark (PySpark) for batch processing</li>
<li>Experience implementing lakehouse architectures and working with columnar storage (e.g., ClickHouse)</li>
<li>Proficient in using Azure Data Factory or Apache Airflow for data orchestration</li>
<li>Experience in building APIs to expose large datasets</li>
<li>Solid experience with Docker, Kubernetes, and Helm</li>
<li>Familiarity with data lake open formats such as Parquet, Delta Lake, and Iceberg</li>
<li>Basic experience with Terraform for infrastructure provisioning</li>
<li>Practical experience with data quality frameworks (e.g., Great Expectations)</li>
<li>Comfortable working in agile development teams</li>
<li>Proven ability in debugging and performance tuning of streaming and batch data jobs</li>
<li>Experience with AI-driven tools (e.g., text-to-SQL) is a plus</li>
</ul>
<p>We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.</p>
<p>What makes Confiz stand out is our focus on processes and culture. Confiz is <b>ISO 9001:2015</b> (QMS), <b>ISO 27001:2022</b> (ISMS), <b>ISO 20000-1:2018</b> (ITSM) and <b>ISO 14001:2015</b> (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.</p>
<p>People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.</p>
<p>To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</p></div><br /> <div id='job-id'>Job Id: Sj8INeepWcSW/iKQgO55oj9HUYnT+z3e8SOVRYspwxBxxbXaT5ZeJ6QOM4ajj7WZtB3EEhgEoLHMhiKUFa+XDzyHY6KJal+wIORco+f6SZvIa16k/dzbzs8t+qYRnSSmryIP4PzbdgXZGlY47flt6W1b3IyjIS8KtlZUTu+meCQQ87S93XHsUv3yeqCQrQAdDtKMjfPeFypD</div>

Data Engineering Lead

Cargill

Cargill’s size and scale allows us to make a positive impact in the world. Our purpose is to nourish the world in a safe, responsible and sustainable way. We are a family company providing food, ingredients, agricultural solutions and industrial products that are vital for living. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials — from eggs to edible oils, salt to skincare, feed to alternative fuel. Our 160,000 colleagues, operating in 70 countries, make essential products that touch billions of lives each day. Join us and reach your higher purpose at Cargill. Job Purpose and Impact
<br><br>
The Director, Data Engineering job leads a data engineering team responsible for the execution of the tactical and strategic plans related to design, development and maintenance of robust data pipelines and solutions. This job provides guidance to the team that ensures the efficient processing and availability of data for analysis and reporting. Essential Functions
<br><br>
Establishes and maintains robust data systems that support large and complex data products, ensuring reliability and accessibility for partners.
<br>Leads the development of technical products and solutions using big data and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.
<br>Oversees and guides the design and development of data pipelines that facilitate the movement of data from various sources to internal databases.
<br>Handles the construction and optimization of data infrastructure, resolving appropriate data formats to ensure data readiness for analysis.
<br>Examines and settles appropriate data formats to optimize data usability and accessibility across the organization.
<br>Liaises with partners to understand data needs and ensure alignment with organizational objectives.
<br>Champions development standards and brings forward prototypes to test new data framework concepts and architecture patterns supporting efficient data processing and analysis and promoting standard methodologies in data management.
<br>Leads the creation and maintenance of automated reporting systems that provide timely insights and facilitate data driven decision making.
<br>Oversees data modeling to ensure the preparation of data in databases for use in various analytics tools and to configurate and develop data pipelines to move and improve data assets.
<br>Manages team members to achieve the organization’s goals, by ensuring productivity, communicating performance expectations, creating goal alignment, giving and seeking feedback, providing coaching, measuring progress and holding people accountable, supporting employee development, recognizing achievement and lessons learned, and developing enabling conditions for talent to thrive in an inclusive team culture. Minimum and Typical Years of Work Experience
<br><br>
Minimum requirement of 6 years of relevant work experience. Typically reflects 10 years or more of relevant experience.
<br>Preferred Work Experience Prior experience as a data/ software engineer performing data modeling and data pipeline engineering leveraging advanced cloud technologies and diverse coding languages Leading geographically distributed engineering teams across a large global organization Developing and managing strategic partnerships across both digital and business facing stakeholders Track record of leading architecture strategies and execution across a diverse digital and data technology landscape Experience developing and leading transformation strategies regarding to people, process, and technology Thorough understanding of industry trends and best practices related to data engineering of robust, performant, and cost effective solutions Proven record helping drive the adoption of new technologies and methods within the functional data and analytics team and be a role model and mentor for data engineers.
<br>Equal Opportunity Employer, including Disability/Vet.<br /> <div id='job-id'>Job Id: BdBqHJjGPN7aLzano/VZQqQc0oXzeD1O3oZW9Anif2SOFZGpZaTz/ePpZWEL4xNf/fUOp/Ni9+4Oqc9Fqmvpss5QpAT3vaFsOYerEdCf3pajCAHH</div>

Director, Data Engineering (Hybrid - Atlanta, Georgia)

Search 10000+ Data engineering jobs near you this July. New roles added regularly across leading industries. Apply today.

10000 data engineering jobs NEAR_ME

Director, Data Engineering

Team Lead - Data Engineering

Senior Data Engineering Manager

Senior Consultant - Data Engineering

Senior Data Engineering Manager

Data Engineering Lead

Director, Data Engineering (Hybrid - Atlanta, Georgia)