data engineering manager

Robert Half

<div>
 Additional Skills:
 <br/>
 <br/>
 Deep hands-on expertise with dbt (Cloud or Core), including model development, testing, macros, packages, documentation, scheduling, and performance optimization.
 <br/>
 Strong command of dbt project structure, materializations (including incremental models and snapshots), and integration with BI-owned metric certification and semantic layers.
 <br/>
 Ability to evaluate when to leverage community dbt packages versus building custom solutions.
 <br/>
 Expert-level SQL for complex analytical transformations and performance optimization.
 <br/>
 Strong data modeling skills across dimensional (Kimball), Data Vault, and domain-oriented patterns, including temporal modeling, SCDs, and surrogate keys.
 <br/>
 Proven judgment in balancing normalization vs. denormalization for performance, flexibility, and downstream analytics use cases.
 <br/>
 Experience designing and implementing automated data quality testing and validation frameworks.
 <br/>
 Familiarity with data quality tooling (e.g., Great Expectations) and core data quality dimensions across analytics workflows.
 <br/>
 Familiarity with modern analytics stacks and how analytics engineering integrates with cloud data platforms, ingestion tools, dbt, and BI systems.
 <br/>
 Working knowledge of DataOps practices such as version control, CI/CD, and automated testing.
 <br/>
 Knowledge of K&ndash;12 education data domains and metrics, including enrollment, attendance, assessments, staffing, and multi-state reporting requirements.
 <br/>
 Familiarity with education data privacy (FERPA), academic calendars, and operational rhythms.
 <br/>
 Proven ability to lead technical teams, facilitate requirements and design discussions, and manage competing stakeholder priorities.
 <br/>
 Strong communication and change management skills, translating technical capabilities into clear business value.
 <br/>
 <br/>
 <br/>
 Required experience:
 <br/>
 <br/>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, Data Science, Statistics, Mathematics, or a related field, or equivalent practical experience.
 <br/>
 7+ years of experience in analytics engineering, data engineering, data analytics, or closely related technical roles.
 <br/>
 3+ years of experience in technical leadership or people management, leading analytics, data, or BI teams.
 <br/>
 Demonstrated hands-on experience with dbt (2+ years) building and maintaining production data models and transformations.
 <br/>
 Strong data modeling expertise, with a proven track record designing dimensional models, analytics data marts, or business-facing data products.
 <br/>
 Expert-level SQL skills, including complex analytical queries and performance optimization
 <br/>
 Experience partnering with non-technical stakeholders to gather requirements and translate them into effective technical solutions.
 <br/>
 <br/>
 Preferred Education and Experience:
 <br/>
 <br/>
 Master&rsquo;s degree in Data Science, Statistics, Computer Science, or a related analytical field.
 <br/>
 dbt Analytics Engineering certification or equivalent demonstrated expertise
 <br/>
 Hands-on experience with Snowflake or comparable cloud data warehouse platforms.
 <br/>
 Experience working with K&ndash;12 education data, student information systems, or education analytics.
 <br/>
 Experience building data solutions for multi-state or geographically distributed organizations.
 <br/>
 Exposure to data governance practices, including business glossaries and data quality frameworks
 <br/>
 Familiarity with modern data stack tools (e.g., ingestion, orchestration, BI, and data quality platforms).
 <br/>
 Experience leading analytics teams using Agile or iterative delivery methodologies.
 <br/>
 Active Directory, Citrix Technologies, Desktop administration, Computer Hardware, Remote Desktop Support, Data Build Tool (DBT), Snowflake schema, Snowflake, Data Modeling, Data Ingestion, Data Architecture, Student information systems, Data Warehousing, Business Intelligence and Data Warehousing (BI DW), Microsoft SQL, Continuous Integration / Continuous Delivery (CICD)
 <br/>
 Technology Doesn't Change the World, People Do.
 <sup>
  &reg;
 </sup>
 <br/>
 <br/>
 <p>
  Robert Half is the world&rsquo;s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.
 </p>
 <br/>
 <br/>
 <p>
  Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app and get 1-tap apply, notifications of AI-matched jobs, and much more.
 </p>
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 <p>
  All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
 </p>
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 <p>
  &copy; 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking &ldquo;Apply Now,&rdquo; you&rsquo;re agreeing to Robert Half&rsquo;s Terms of Use and Privacy Notice.
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</div>


Data Engineering Manager

Logic, Inc.

<div><div>Data Engineering Associate Manager | Mid-Level | Full time
</div><div>Job No. R00319774 | Charlotte, NC</div></div>
<br><div><div><p><b>Data Engineering Associate Manager </b>(Accenture LLP; Charlotte, NC): Accenture LLP has multiple openings for the position of Data Engineering Associate Manager in Charlotte, NC, and the job duties are as follows:</p><p></p><ul><li>
Leverage analytical and data management tools and techniques to develop quantitative and qualitative business insights for Accenture or our clients.</li><li>
Integrate systems and data efficiently and effectively.</li><li>
Develop scalable data infrastructure inline with data governance practices to enhance system performance and build integrations for batch or real-time consumption patterns.</li><li>
Develop intellectual property involving specific analytical methodologies, mathematical modeling, or optimization techniques and their applications to business issues.</li><li>
Translate business issues into specific requirements to develop analytic and operational solutions and manage appropriate data to support the solution.</li><li>
Collaborate with Accenture and/or external consulting teams to address business issues and influence change using strategy, industry, and analytical skills.</li><li>
Analyze and solve moderately complex problems.</li><li>
Understand strategic direction set by senior management and implement senior management&rsquo;s strategic direction and procedures.</li><li>
Work with team members to meet deliverable requirements, service level measures, and specific targets.</li></ul></div></div>
<br><div><p><b>BASIC QUALIFICATIONS:
</b></p><p>Must have a bachelor&rsquo;s degree in Computer Science, Technology, Computer Information Systems, Computer Applications, Engineering, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Industrial Engineering, Computer Hardware, Computer Software, or related field, plus 5 years of experience in the IT consulting industry.</p><p></p><p>
Must have 4 years of experience in each of the following:</p><ul><li>
Designing and developing data architecture solutions using Data Mesh, Fabric Architectures, Data Warehouse, Data Mart, and Data Lake;</li><li>
Creating high-performance data pipelines and integrated solutions for large volumes of streaming data utilizing PySpark, Go, Kubeflow, Kafka Streams, Airflow and Dockers;</li><li>
Utilizing big data and data management platforms, including Hadoop, Spark, Snowflake, and Databricks;</li><li>
Designing, implementing, and monitoring data services on cloud platforms, including Azure, AWS, and GCP while managing infrastructure-as-a-code through technologies such as Terraform and Azure JSON configuration;</li><li>
Developing Spark applications with Python and SAS;</li><li>
Developing microservices and API endpoints, performance tuning, and query optimization using Indexing, Partitioning, and Denormalization;</li><li>
Developing ETL/ELT workflows, including data cleansing, classification, migration, profiling, and transformation;</li><li>
Experience in AI Governance and Data Modeling projects including knowledge of Data Security, Encryptions and Enterprise Compliance practices in financial services industry;</li><li>
Utilizing Agile delivery methodologies for iterative development within Scrum and Kanban frameworks to lead small teams, plan team capacity and prioritize deliverables, effectively translating business and functional requirements into technical architecture and design implementations; and</li><li>
Providing IT services such as requirement gathering, solution design, and techno-function collaboration with business and technical teams, and domain knowledge of the financial services industry.</li></ul><p></p><p>
Must have willingness and ability to travel domestically approximately 80% of the time to meet client needs.</p><p></p><p><b>
To apply, please click the &lsquo;APPLY&rsquo; button.</b></p><p></p><p>
#LI-DNI
<br>
#IND-DNI</p></div>
<br><div><p>Charlotte, NC</p></div>
<br><div><p><b>Requesting an Accommodation</b></p>
<p>
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.</p>
<p>
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.</p><br>
<p></p>
<p><b>
Equal Employment Opportunity Statement</b></p>
<p>
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.</p><br>
<p></p>
<p>
Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.</p>
<p>
Accenture is committed to providing veteran employment opportunities to our service men and women.</p><br>
<p></p>
<p><b>
Other Employment Statements</b></p>
<p>
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.</p>
<p>
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.</p>
<p>
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.<br>
<br>
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.</p>
<p>
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please for additional important information.</p>
<p>
Please read Accenture&rsquo;s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.</p></div>
<br><div><p>We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.</p>
<p>
We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.</p>
<p>
At Accenture, we see well-being holistically, supporting our people&rsquo;s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We&rsquo;re proud to be consistently recognized as one of the World&rsquo;s Best Workplaces&trade;.</p>
<p>
Join Accenture to work at the heart of change. Visit us at www.accenture.com.</p></div>

Data Engineering Associate Manager

Information Technology Senior Management Forum

<div><div><p>Posted Date</p>
<p>3/09/2026</p>
</div><div><p>Description</p>
<div><p><b>Data Engineering Associate Manager </b>(Accenture LLP; Charlotte, NC): Accenture LLP has multiple openings for the position of Data Engineering Associate Manager in Charlotte, NC, and the job duties are as follows:</p><ul><li>
Leverage analytical and data management tools and techniques to develop quantitative and qualitative business insights for Accenture or our clients.</li><li>
Integrate systems and data efficiently and effectively.</li><li>
Develop scalable data infrastructure inline with data governance practices to enhance system performance and build integrations for batch or real-time consumption patterns.</li><li>
Develop intellectual property involving specific analytical methodologies, mathematical modeling, or optimization techniques and their applications to business issues.</li><li>
Translate business issues into specific requirements to develop analytic and operational solutions and manage appropriate data to support the solution.</li><li>
Collaborate with Accenture and/or external consulting teams to address business issues and influence change using strategy, industry, and analytical skills.</li><li>
Analyze and solve moderately complex problems.</li><li>
Understand strategic direction set by senior management and implement senior management&rsquo;s strategic direction and procedures.</li><li>
Work with team members to meet deliverable requirements, service level measures, and specific targets.</li></ul>
<p><b>BASIC QUALIFICATIONS:
</b></p><p>Must have a bachelor&rsquo;s degree in Computer Science, Technology, Computer Information Systems, Computer Applications, Engineering, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Industrial Engineering, Computer Hardware, Computer Software, or related field, plus 5 years of experience in the IT consulting industry.</p><p>
Must have 4 years of experience in each of the following:</p><ul><li>
Designing and developing data architecture solutions using Data Mesh, Fabric Architectures, Data Warehouse, Data Mart, and Data Lake;</li><li>
Creating high-performance data pipelines and integrated solutions for large volumes of streaming data utilizing PySpark, Go, Kubeflow, Kafka Streams, Airflow and Dockers;</li><li>
Utilizing big data and data management platforms, including Hadoop, Spark, Snowflake, and Databricks;</li><li>
Designing, implementing, and monitoring data services on cloud platforms, including Azure, AWS, and GCP while managing infrastructure-as-a-code through technologies such as Terraform and Azure JSON configuration;</li><li>
Developing Spark applications with Python and SAS;</li><li>
Developing microservices and API endpoints, performance tuning, and query optimization using Indexing, Partitioning, and Denormalization;</li><li>
Developing ETL/ELT workflows, including data cleansing, classification, migration, profiling, and transformation;</li><li>
Experience in AI Governance and Data Modeling projects including knowledge of Data Security, Encryptions and Enterprise Compliance practices in financial services industry;</li><li>
Utilizing Agile delivery methodologies for iterative development within Scrum and Kanban frameworks to lead small teams, plan team capacity and prioritize deliverables, effectively translating business and functional requirements into technical architecture and design implementations; and</li><li>
Providing IT services such as requirement gathering, solution design, and techno-function collaboration with business and technical teams, and domain knowledge of the financial services industry.</li></ul><p>
Must have willingness and ability to travel domestically approximately 80% of the time to meet client needs.</p><p>
#LI-DNI
<br>
#IND-DNI<br>
<br>
</p><p><b>Requesting an Accommodation</b></p>
<p>Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.</p>
<p>If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.</p>
<p><b>Equal Employment Opportunity Statement</b></p>
<p>We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.</p>
<p>For details, view a copy of the Accenture Equal Opportunity Statement</p>
<p>Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.</p>
<p>Accenture is committed to providing veteran employment opportunities to our service men and women.</p>
<p><b>Other Employment Statements</b></p>
<p>Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.</p>
<p>Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.</p>
<p>Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.
<br>
<br>
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.</p>
<p>California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.</p>
<p>Please read Accenture&rsquo;s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.</p>
<p>We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.</p>
<p>We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.</p>
<p>At Accenture, we see well-being holistically, supporting our people&rsquo;s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We&rsquo;re proud to be consistently recognized as one of the World&rsquo;s Best Workplaces&trade;.</p>
<p>Join Accenture to work at the heart of change. Visit us at www.accenture.com.</p></div>
</div><div></div><div><div><p>Type</p><div><p>
Full-time</p></div></div></div></div>

Goldman Sachs

<div><div><div><div><div><div><div><p>The VENDOR DATA PRODUCTS team at Goldman Sachs delivers analytics, pricing and reference data, both real-time and historical reflecting all major markets and financial instruments to our internal and external clients.</p><br>
<p></p>
<p>
The Vendor Data Products Vendor Management sub-team is responsible for negotiating all data licensing and commercial terms with third party vendors. The team coordinates directly with internal business sponsors on data requirements as well as legal counsel, Technology Risk, Compliance and the Vendor Management Office - to ensure vendor solutions meet firm policies and standards. The role provides the opportunity to identify cost saving opportunities and build strong relationships with all divisions in the Firm while supporting strategic projects.</p>
<p><b>
Why join the team?</b></p>
<ul><li>
We are a collaborative and global team responsible for over 400 vendor relationships</li><li>
Opportunity to work closely with business stakeholders across all areas of the Goldman Sachs business to understand client requirements and support strategic projects</li><li>
We are at the forefront of driving industry change in digital rights and are building a Digital Rights Management (DRM) platform to revolutionize data licensing</li><li>
Exposure to a broad array of products as well as many different aspects of the business since market data is a critical enabler for our businesses</li><li>
As the primary representative for Firm, you will be accountable for maintaining the Firm&rsquo;s reputation with our suppliers</li><li>
Ownership of high profile vendor relationships for new contract negotiations, renewals and all other vendor oversight activities</li><li>
You will thrive in a work environment that requires strong problem solving skills and independent self-direction, coupled with an aptitude for team collaboration and open communication</li></ul>
<p><b>
Basic Qualifications/Experience</b></p>
<ul><li>
Project or product management experience in global and/or large-scale delivery environment</li><li>
A solid understanding of PMO fundamentals (e.g. project planning, risk management, stakeholder engagement, reporting)</li><li>
Highly motivated individuals who enjoy fast-paced environments and have a track-record of meeting agreed timelines</li><li>
Strong experience in vendor negotiation and relationship management</li><li>
Senior stakeholders engagement; ability to confidently communicate with and influence</li><li>
General understanding of market data licensing terms</li></ul>
<p><b>
Preferred Qualifications</b></p>
<ul><li>
Vendor management, data licensing and/or business analysis experience</li><li>
Market data domain expertise and industry awareness</li><li>
Experience managing projects in Jira</li><li>
Experience of the MDSL MDM inventory system</li></ul></div></div></div></div></div></div><div><div><div><div><div><b>
We Offer Best-In-Class Benefits</b></div></div></div><p></p><div><div><div><div><div><div><div>
Healthcare &amp; Medical Insurance</div></div><p>
We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Holiday &amp; Vacation Policies</div></div><p>
We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Financial Wellness &amp; Retirement</div></div><p>
We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees&rsquo; priorities.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Health Services</div></div><p>
We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Fitness</div></div><p>
To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).</p></div></div></div></div><p></p><div><div><div><div><div><div>
Child Care &amp; Family Care</div></div><p>
We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Benefits at Goldman Sachs</div></div><p>
Read more about the full suite of class-leading benefits our firm has to offer.</p></div></div></div></div></div></div></div></div><div></div>
<br><p>Opportunity Overview
CORPORATE TITLE
Associate
OFFICE LOCATION(S)
New York
JOB FUNCTION
Vendor Management (TPRM)
DIVISION
Engineering Division
SALARY RANGE
USD 85,000 - 140,000</p>

Data Engineering - Vendor Manager - Associate - New York

<div><p><b>Position Type :
</b></p>Full time<p><b>
Type Of Hire :
</b></p>Experienced (relevant combo of work and education)<p></p><p><b>
Job Description</b></p><p></p><p><b>
About FIS</b></p><p></p><p>
Are you curious, motivated, and forward-thinking? At FIS you&rsquo;ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun.</p><p></p><p><b>
About the team</b></p><p></p><p>
The Enterprise Data &amp; AI (EDAI) team drives the modernization and intelligence of FIS&rsquo;s global data ecosystem, enabling the company to securely ingest, process, govern, and activate data at scale.
</p><p></p><p>The team builds and operates the platforms that power advanced analytics, machine learning, and AI-driven insights, partnering closely with engineering, product, and business stakeholders to deliver high-quality, reliable, and compliant data solutions.
</p><p></p><p>With a focus on automation, standardization, and platform excellence, EDAI ensures that FIS teams across the enterprise can access trusted data and leverage cutting-edge AI capabilities to accelerate innovation and achieve measurable business outcomes.</p><p></p><p><b>
What you will be doing</b></p><p></p><p>
We are seeking a Data Engineering Manager to drive enterprise data solutions within the EDAI team.
</p><p></p><p>In this role, you will combine technical expertise in cloud data engineering with leadership acumen to deliver high-quality, scalable data pipelines. You will oversee end-to-end data ingestion (ELT) using Fivetran, ensure efficient processing on Azure Databricks, and coordinate with downstream analytics teams (leveraging Snowflake and BI tools) to enable data-driven decision making.
</p><p></p><p>The ideal candidate has extensive hands-on experience with all Fivetran implementation types and a broad knowledge of database and source technologies, coupled with strong skills in Microsoft Azure and big data processing frameworks.</p><p></p><p><b>
What you bring</b></p><p></p><ul><li><p>
Lead the design and implementation of robust ELT pipelines using Fivetran across SaaS, database, file, and custom connectors.</p></li><li><p>
Serve as the subject matter expert on all Fivetran implementation types, including High-Volume Agent (HVA) for on-premises systems.</p></li><li><p>
Oversee data transformation and processing using Azure Databricks and related Azure services.</p></li><li><p>
Ensure data quality, performance optimization, and compliance across all data pipelines.</p></li><li><p>
Manage and mentor a team of data engineers, fostering best practices and continuous improvement.</p></li><li><p>
Collaborate with cross-functional teams to align data solutions with business goals.</p></li></ul><p></p><p><b>
Bonus if you have
</b></p><p></p><ul><li><p>8+ years of experience in data engineering, with 2+ years in a leadership role.</p></li><li><p>
Expertise in Fivetran, including all connector types and deployment models.</p></li><li><p>
Strong experience with Microsoft Azure, Databricks, and cloud-native data engineering.</p></li><li><p>
Proficiency in SQL, Python/Scala, and big data processing frameworks.</p></li><li><p>
Broad knowledge of relational and NoSQL databases, including Oracle, SQL Server, and DB2.</p></li><li><p>
Excellent communication and stakeholder management skills.</p></li></ul><p></p><p><b>
What we offer you
</b></p><p></p><ul><li><p>A modern, global engineering environment using industry‑leading cloud data technologies.</p></li><li><p>
Competitive salary, benefits, and extensive professional development opportunities.</p></li><li><p>
A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities.</p></li></ul><p></p><p><b><br>
Privacy Statement</b></p><p></p><p>
FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.</p><p></p><p><b>
EEOC Statement</b></p><p></p><p>
FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here</p><p><br>
For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.</p><p></p><p><b>
Sourcing Model</b></p><p></p><p>
Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.</p><p></p><p>
#pridepass</p></div>

Data Engineer Sr Manager

Apple

<p>The Apple Data Platform team, part of the Services organization, powers analytics and machine learning across Apple. Our mission is to deliver cutting-edge, reliable, and user-friendly infrastructure for data ingestion, storage, processing, and interaction, enabling teams to build data-intensive applications with ease and success. This role sits within the Data Lakehouse team, a part of the Apple Data Platform. The team provides a fully managed Lakehouse solution powered by Apache Iceberg, Iceberg REST Catalog, and custom-built services to manage data at scale. Our platform supports both analytical and machine learning workloads across Apple, serving key products and organizations including Siri, Search, Media, iCloud, News, Apple Intelligence, and Maps. We continuously innovate to meet evolving customer needs and market trends. We seek engineers passionate about building world-class infrastructure products. In this role, you will lead the data lakehouse team, guiding team members in both technical and professional growth. You will collaborate closely with cross-functional teams to lead the planning, execution, and success of technical projects, with a focus on enhancing the experience for Apple&rsquo;s internal customers.<br>
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<b>Description</b><br>
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Apple is seeking a highly motivated and experienced Senior Engineering Manager to lead a team responsible for the development and optimization of our core data libraries on our data platform. This role is critical to enabling data-driven decision-making across Apple, powering a wide range of applications from product analytics and machine learning to supply chain optimization and fraud detection. You will be responsible for building and leading a team of talented engineers, driving technical strategy, and ensuring the scalability and performance of our data platform. You will work closely with data scientists, data engineers, and product teams to understand their needs and deliver innovative solutions that leverage the power of cutting edge data processing technologies.&quot;,&quot;responsibilities&quot;:&quot;Team Leadership: Build, mentor, and manage a high-performing team of software engineers specializing in Spark, Iceberg, and related technologies; Foster a culture of collaboration, innovation, and continuous improvement; Provide technical guidance and mentorship to team members, promoting their professional growth; Conduct performance reviews, provide feedback, and identify opportunities for training and development; Manage team workload, prioritize projects, and ensure timely delivery of high-quality solutions.<br>
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Technical Strategy and Execution: Define and execute the technical roadmap for our data processing platform, aligning with Apple's overall data strategy; Drive innovation in data processing techniques, exploring new technologies and approaches to improve performance, scalability, and efficiency; Lead the design, development, and deployment of robust and scalable data pipelines using Spark and Iceberg; Ensure the reliability, availability, and security of our data processing infrastructure.; Collaborate with other engineering teams to integrate our data processing technologies with other Apple systems and services.<br>
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Stakeholder Management: Partner with data scientists, data engineers, product managers, and other stakeholders to understand their data processing needs and requirements; Communicate technical concepts and solutions effectively to both technical and non-technical audiences; Advocate for best practices in data processing and engineering; Manage expectations and ensure alignment across different teams.<br>
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Engineering Thought Leadership: Represent Apple data platform work at external conferences; Deliver presentations, and write blog posts highlighting Apple&rsquo;s leadership in big data processing.<br>
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<b>Preferred Qualifications</b><br>
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Proven contributions to open source projects like Spark or Iceberg.<br>
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Thought leadership in the community via presentations in conferences or blog posts.<br>
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Experience building and growing teams focusing on open source technologies.<br>
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<b>Minimum Qualifications</b><br>
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12+ years of software development experience, with a focus on data processing at scale.<br>
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8+ years of engineering people management experience-leading, mentoring, and growing teams.<br>
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3+ years of experience managing engineering managers.<br>
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Deep expertise in open source data platform technologies like Apache Spark and Apache Iceberg.<br>
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Excellent communication, interpersonal, and leadership skills.<br>
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Strong problem-solving and analytical skills.<br>
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BS, MS, or Ph.D. in Computer Science or a related field of study.<br>
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Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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. Learn more about your EEO rights as an applicant .<br>
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<b>Pay &amp; Benefits</b><br>
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At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $228,100 and $393,800, and your base pay will depend on your skills, qualifications, experience, and location.<br>
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Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
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Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Senior Engineering Manager - Core Data Libraries

Risant Health

<div><b>Company Description</b><p><br>
Risant Health, a nonprofit affiliate of Kaiser Foundation Hospitals, is transforming healthcare by accelerating the adoption of value-based care across community health systems. Headquartered in the Washington, DC area, Risant Health partners with nonprofit, community-based systems&mdash;starting with Geisinger&mdash;to expand access to care that prioritizes health outcomes and affordability.</p><p>
Backed by nearly 80 years of Kaiser Permanente&rsquo;s value-based care expertise, Risant Health operates independently to support its portfolio of health systems with shared resources, strategic guidance, and operational support&mdash;while preserving their community roots.</p><b><br>
Job Description</b><p><br>
The Data &amp; Analytics (D&amp;A) team delivers strategic insights, analytics products, and decision-support capabilities across Risant Health, Risant Health&rsquo;s Value-Based Platform (VBP) and Risant Health Organizations (RHOs), and Kaiser Permanente (KP). Through four key pillars&mdash;Risant Strategic Analytics, VBP/Solution Intelligence, RHO Support &amp; Enablement, and Foundational Capabilities&mdash;the team translates data into actionable intelligence that drives clinical quality improvement, total cost of care reduction, better experiences for members and clinicians, and health equity.</p><p>
The Analytics Program Manager for Foundational Platform owns the business requirements, product strategy, and delivery coordination for Risant's core data and analytics infrastructure (part of D&amp;A&rsquo;s Foundational Capabilities pillar). This role bridges business needs and technical execution, ensuring the platform delivers scalable, high-quality data and analytic capabilities that enable operations and strategic analytics across D&amp;A pillars. The Analytics Program Manager for Foundational Platform will ensure immediate needs are served through interim platform capabilities while pursuing the long-term architecture vision that is needed for Risant.</p><p><b>
Job Responsibilities</b></p><p><b>
Technical Program Management &amp; Roadmap Planning:</b> Coordinate delivery for the Foundational Platform build, balancing across interim solution build and long-term platform implementation. Working closely with Risant Technology and business partners, define and maintain a roadmap with tracked dependencies and release schedule that consists of sprints that combine data, analytic and technology outputs that cumulatively deliver business value.</p><p><b>
Business &amp; Requirements Ownership:</b> Partner closely with business teams to drive alignment between strategic goals and execution scope. Own business requirements gathering and documentation for the platform, including for member/patient master data management (MDM), provider MDM/hierarchy, and other core data models. Translate business needs from analytics pods, RHOs and other stakeholders into requirements for Architecture &amp; Engineering teams and coordinate with those teams on technical designs to ensure capabilities meet business requirements and scalability needs. Lead acceptance testing (UAT and BAT) for all releases.</p><p><b>
Standards Definition and Governance:</b> Establish and govern source data onboarding process, metric definitions, calculation / methodology logic, and data quality standards. Document and maintain data contracts between Risant, RHOs and third-party vendors as needed.</p><p><b>
Vendor &amp; Partner Coordination:</b> Co-manage (with Risant Technology) third-party vendors and partners as needed, identifying co-development activities and ensuring performance expectations and service levels are met.</p><p><b>
Budget and Investment Oversight:</b> Partner with D&amp;A Portfolio Lead and Risant Technology partners to prioritize platform investments against competing analytics delivery needs. Support budget planning and vendor procurement processes for platform tools, technologies, and services.</p><p><b>
Risk &amp; Change Management:</b> Proactively identify, assess, and mitigate program risks and issues, escalating when necessary. Drive platform adoption across analytic pods and other Risant stakeholders through robust change management that includes stakeholder communications, training and cutover planning.</p><p><b>
Platform Performance Monitoring:</b> Establish and monitor platform KPIs including data quality metrics (e.g. accuracy, completeness), system performance (e.g. uptimes, usability, query speed), user adoption / satisfaction and cost efficiency. Provide executive reporting as needed.</p><p><b>
Stakeholder Engagement &amp; Communication:</b> Build and maintain strong relationships with internal teams, external partners, and senior leadership to ensure alignment, buy-in, and engagement throughout the platform delivery lifecycle.</p><b><br>
Qualifications</b><p><b><br>
Required Qualifications</b></p><p><b>
Education:</b></p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering, Data Science or related field</li></ul><p><b>
Experience:</b></p><ul><li>
Seven (7) years in technical program management, data engineering, or analytics platform delivery</li><li>
Five (5) years working with enterprise data platforms, data warehouses, or analytics infrastructure</li><li>
Three (3) years in healthcare data environments with exposure to claims, clinical, and operational data sources (incl. third parties)</li><li>
Experience with modern data platforms (Snowflake, Databricks, BigQuery)</li><li>
Experience with BI platforms (Tableau, Power BI, Qlik) and their architecture requirements</li><li>
Familiarity with healthcare data standards (HL7, FHIR, X12) &amp; standard sources (incl. EHRs)</li><li>
Understanding of MDM solutions, data quality tools, and metadata management</li></ul><p><b>
Supervisory/Management Experience:</b></p><ul><li>
Five (5) years demonstrated ability to lead technical teams, coordinate across business and engineering functions, and influence senior stakeholders without explicit authority.</li></ul><p><b>
Education Preferred:</b></p><ul><li>
Master&rsquo;s degree in Data Science/Analytics, Information Systems or a related discipline.</li></ul><p><b>
Certification and/or Licensure Preferred:</b></p><ul><li>
PMI Project Management Professional (PMP)</li><li>
PMI Program Management Professional (PgMP)</li><li>
Certified Scrum Product Owner (CSPO)</li><li>
Certified Scrum Master (CSM)</li><li>
SAFe Scrum Master (SSM)</li><li>
SAFe Product Owner / Manager (POPM)</li><li>
SAFe Agile Product Manager (APM)</li><li>
SAFe Practice Consultant (SPC)</li><li>
Cloud platform certifications (AWS, Azure, GCP)</li><li>
Data Governance certifications (CDMP, DGSP, ADGP)</li></ul><p><b>
Technical Competencies Preferred:</b></p><ul><li>
Working knowledge of both Agile and traditional project management approaches, with ability to adapt to needs</li><li>
Change management expertise to drive adoption of new portfolio processes and governance structures</li><li>
Familiarity with project management and collaboration tools (e.g., Jira, Smartsheet, Confluence, MS Project)</li><li>
Proficiency in Microsoft Office Suite (e.g., Excel, PowerPoint, PowerBI) for reporting and presentations</li></ul><p><b>
This hybrid role requires working onsite up to two days per week in either our Washington, DC or Renton, WA office. Bi‑monthly travel is also required.</b></p><b><br>
Additional Information</b><p><b><br>
Compensation and Benefits: </b>The projected base salary for this position ranges from $130,000 to $171,600 and depends on experience and qualifications. This role is also eligible for incentive compensation and a comprehensive benefits package, including wellness programs, retirement savings, and relocation support as applicable.</p><p><b>
Join us! </b>If you are passionate about improving healthcare through innovative solutions and want to make a meaningful impact, we encourage you to apply. Risant Health is an equal opportunity employer committed to creating a diverse and inclusive workplace. We welcome applicants from all backgrounds and experiences. All your information will be kept confidential according to EEO guidelines.</p></div>

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