data pipeline engineer

Apple

<p>At Apple, we focus deeply on our customers&rsquo; experience. Apple Ads brings this same approach to advertising, helping people find exactly what they&rsquo;re looking for and helping advertisers grow their businesses.<br>
<br>
Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone.<br>
<br>
We are looking for an experienced Data Pipeline Engineer to support our growing advertising business. In this role, you will work within our Apple Ads Sales Operations team to support and empower the sales analytics organization by leveraging your business knowledge and context to build data pipelines powering internal reporting and tools.<br>
<br>
<b>Description</b><br>
<br>
A successful candidate will have deep experience in building data pipelines to support analytics and reporting across a globally distributed sales team. The role requires both a broad knowledge of existing analytical techniques and strong business insight. You&rsquo;ll be working on projects where tools and methods are used to drive real-world business value, using creativity to invent and customize when necessary.&quot;,&quot;responsibilities&quot;:&quot;Use modern tools and technologies to build reliable and performant pipelines for reporting and analytics<br>
<br>
Automate and optimize existing analytic workloads by recognizing patterns of data and technology usage - driving the generation of insights from complex data in support of our global sales organization<br>
<br>
Collaborate closely with business stakeholders to understand their priorities, support the rollout of sales strategies, and build foundational data sets that directly support strategic decision-making<br>
<br>
Partner cross-functionally within Apple Ads to ensure proper data quality, availability and governance.<br>
<br>
Build and enhance internal business intelligence, data visualization and reporting capabilities.<br>
<br>
Support the rollout of sales strategies by building foundational data sets and analyses, incorporating a focus on measuring outcomes and success.<br>
<br>
Must be able to work in a rapidly changing and dynamic environment<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Advanced education degree in data science, statistics, economics, computer science or other quantitative field<br>
<br>
Experience in Ad Tech or digital advertising<br>
<br>
Strong track record of building data pipelines<br>
<br>
Ability to understand and contextualize the needs of key business stakeholders and translate those requirements into scalable data models that support analytics and reporting<br>
<br>
Exceptional written and verbal communication skills<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
4+ years of relevant industry experience using analytics to solve business problems<br>
<br>
Fluency with SQL for coding and database querying<br>
<br>
Experience with DBT<br>
<br>
BS in data science, statistics, economics, computer science or other quantitative field<br>
<br>
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>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
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 $141,800 and $258,600, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
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>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Data Pipeline Engineer, Apple Ads Sales Ops

Intrado

<div><b>About Us</b><div><br>
Intrado is dedicated to saving lives and protecting communities, helping them prepare for, respond to, and recover from critical events. Our cutting-edge company strives to become the most trusted, data-centric emergency services partner by uniting fragmented communications into actionable intelligence for first responders. At Intrado, all of our work truly matters.</div><br>
<br>
<b>Responsibilities/Qualifications</b><div><br>
We are seeking an exceptional <b>Data Engineer</b> to build the robust data pipelines that will power our company&rsquo;s internal business analytics. Working under the guidance of the Staff Data Engineer, you will ensure that the raw data from multiple systems is consistently ingested, cleaned, and made ready for analysis. By building stable and efficient pipelines, you will directly support the timely generation of visualizations that leadership relies on to make informed decisions.</div><div><br>
</div><div>This is a demanding role in a results-oriented environment with high expectations for agency, speed, and ownership.</div><div></div><div><b><br>
Key Responsibilities</b></div><ul><li><b>
Pipeline Execution:</b> Build and maintain Azure Data Factory pipelines to ingest data from multiple sources.
</li><li><b>Silver Layer Transformation: </b>Write the Python code in Databricks to clean raw data and move it into the silver layer, handling deduplication, type casting, and validation.
</li><li><b>Reliability:</b> Monitor daily jobs and troubleshoot failures. You are the first line of defense in ensuring that pipelines are stable and do not break.
</li><li><b>Data Quality:</b> Implement automated checks to verify that data arriving in the lake matches the source systems.</li></ul><div><b>
Required Qualifications</b></div><ul><li><b>
Experience:</b> 5+ years of experience in Data Engineering, specifically focused on building and maintaining ETL/ELT pipelines of large-scale operational and financial data in a cloud environment.
</li><li><b>Pipeline Development:</b> Proficiency in building and optimizing data pipelines using Azure Data Factory and Databricks or comparable modern data orchestration and distributed processing frameworks.</li><li><b>
Technical Proficiency (SQL &amp; Python):</b> Strong proficiency in SQL for data analysis and Python for scripting and transformation.
</li><li><b>Data Quality Assurance:</b> Experience implementing automated data quality checks (e.g., schema validation, null checks). A proactive approach to identifying pipeline failures and implementing fixes to prevent recurrence.
</li><li><b>Platform &amp; Data Familiarity:</b> Experience working with data schemas and APIs from common enterprise platforms like Microsoft Dynamics 365 F&amp;O, Salesforce, ServiceNow.
</li><li><b>LLM Application:</b> Demonstrated experience using LLMs to streamline data engineering workflows and improve development efficiency.
</li><li><b>Education:</b> Bachelor&rsquo;s degree in Computer Science, Software Engineering, Data Engineering, or a closely related technical field.
</li></ul><div><b>Preferred Qualifications
</b></div><ul><li>Prior experience working in a technology company or SaaS environment</li></ul>
<br>
<b>Total Rewards</b><br>
<div>
Want to love where you work? At Intrado, we offer a comprehensive benefits package that includes what you&rsquo;d expect (medical, dental, vision, life and disability coverage, paid time off, a Registered Retirement Savings Plan (RRSP), and several that go above and beyond &ndash; tuition reimbursement, paid parental leave, access to a comprehensive library of personal and professional training resources, employee discounts, insurance coverage and more! Apply today to join us in work worth doing!</div><div>
</div><div>
The starting salary is anticipated between $185,000 and $200,000 and will be commensurate with experience. This position is bonus eligible.</div></div>

Data Engineer

Equifax

<div><p>Equifax is seeking a driven Data Engineer to contribute to the creation of high-quality datasets that power our analytical capabilities. If you are a data enthusiast with a knack for databases and a talent for extracting meaningful insights from complex data, we encourage you to apply.
</p><p>You will partner with internal stakeholders to design and deliver analytical solutions in an automated and mature fashion.
</p><p>Strong communication skills are required, and financial industry experience is preferred. This position provides an opportunity to work with best-in-class technology and a rich big data ecosystem.
</p><p><b>This position is based out of our Atlanta, Georgia (OAC) office. We are required to be in the office 3 days/week - Tues/Wed/Thurs.
</b></p><p><b>This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
</b></p><p><b>This position is </b><b>not </b><b>open to third-party vendors or C2C.<br>
</b><br>
</p><p><b>What you will do
</b></p><ul><li><p>Integrate, consolidate, cleanse and structure data for use by our analysts.
</p></li><li><p>Analyze, understand and prepare complex and new data sources and incorporate them into project design.
</p></li><li><p>Use analytical insights to develop solutions, improve processes and work with counterparts in the business to implement proposed solutions.
</p></li><li><p>Create SQL and Python Pipelines that are optimized, efficient, repeatable and scalable.
</p></li><li><p>Perform design, creation, and interpretation of large and highly complex datasets.
</p></li><li><p>Utilize AI to accelerate development, optimize code, and create processing documentation for data pipelines.
</p></li><li><p>Understand best practices for data management, maintenance, and reporting and use that knowledge to implement improvements in our solutions.
</p></li><li><p>Develop and implement data quality checks and troubleshoot data anomalies.
</p></li><li><p>Stay up-to-date with the latest trends and advancements in GCP and related technologies, actively proposing and evaluating new solutions.
</p></li></ul><p><b>What experience you will need
</b></p><ul><li><p>BS degree in a STEM major or equivalent discipline.
</p></li><li><p>5-7 years of experience in data related profession, with a minimum of 2 years as a data engineer.
</p></li><li><p>Extensive experience in SQL is a must, as well as strong knowledge of Python.
</p></li><li><p>Experience building and maintaining moderately-complex data pipelines, troubleshooting issues, transforming and entering data into a data pipeline in order for the content to be digested and usable for future projects.
</p></li></ul><p><b>What could set you apart
</b></p><ul><li><p>A master's degree in a related field is a strong plus.
</p></li><li><p>Experience developing code using AI tools such as Gemini, Chat GPT, Claude, Co - Pilot, etc.
</p></li><li><p>Background in credit risk or finance.
</p></li><li><p>Experience working with large datasets on a big data platform (e.g., Google Cloud, AWS, Snowflake, Hadoop).
</p></li><li><p>Intermediate level understanding and experience with Google Cloud Platforms and overall cloud computing concepts (ie AirFlow), as well as basic knowledge of other cloud environments.
</p></li><li><p>Advanced Git or equivalent usage and CI/CD integration skills.
</p></li></ul><p>#LI-Hybrid
</p><p>#LI-KD1</p></div>

Openkyber

<div><p>We are looking for Junior Data Engineer - Remote / Telecommute for our client in Santa Clara, CA</p>
<p><b>Job Title:</b> Junior Data Engineer - Remote / Telecommute</p>
<p><b>Job Location:</b> Santa Clara, CA</p>
<p><b>Job Type:</b> Contract</p>
<p><b>Job Description:</b></p>
<p>Pay Range: $35hr - $40hr</p>
<p>The Junior Data Engineer will support data operations and engineering activities including monitoring data pipelines, performing operational data loads, troubleshooting data issues, and assisting with system maintenance. The role also involves supporting system audits, documentation, and operational tasks to ensure the reliability and stability of data systems.</p>
<p><b>Requirement/Must Have:</b></p>
<ul><li>Minimum three years of experience in data engineering, data operations, or ETL support roles.</li>
<li>Strong ability to write and troubleshoot SQL queries.</li>
<li>Basic Python scripting skills for automation and data validation.</li>
<li>Understanding of data pipelines, batch processing, and ETL concepts.</li>
<li>Strong problem-solving and analytical skills.</li>
<li>Ability to follow operational processes and handle support tasks efficiently.</li>
</ul><p><b>Experience:</b></p>
<ul><li>Experience supporting data pipelines and ETL processes.</li>
<li>Experience performing operational data loads and validating data processing results.</li>
<li>Experience troubleshooting data issues and resolving production defects.</li>
<li>Experience supporting operational systems and monitoring data workflows.</li>
<li>Experience maintaining technical documentation and operational procedures.</li>
</ul><p><b>Responsibilities:</b></p>
<ul><li>Support correction of production defects and perform ongoing system maintenance activities.</li>
<li>Execute and validate routine data loads and ensure successful processing of data workflows.</li>
<li>Assist with operational tasks such as user account creation and access-related support when required.</li>
<li>Participate in system audits, testing activities, and security or vulnerability remediation tasks under supervision.</li>
<li>Maintain documentation including runbooks and knowledge articles.</li>
<li>Document fixes and provide clear operational handoffs across teams and shifts.</li>
<li>Support operational mandates and special projects assigned within the service scope.</li>
<li>Monitor data processing jobs and assist in troubleshooting failed data pipelines.</li>
</ul><p><b>Skills:</b></p>
<ul><li>SQL query development and troubleshooting.</li>
<li>Python scripting for automation and data validation.</li>
<li>Data pipeline monitoring and ETL support.</li>
<li>Data quality validation and troubleshooting.</li>
<li>Incident handling and operational support processes.</li>
<li>Documentation and knowledge management.</li>
</ul><p><b>Qualification And Education:</b> Bachelor s degree in Computer Science, Information Technology, Data Engineering, or a related field.</p>
<p><b>Preferred Skills:</b></p>
<ul><li>Exposure to modern data platforms such as Databricks or Snowflake.</li>
<li>Familiarity with workflow orchestration tools and data pipeline management.</li>
<li>Experience with ticketing or IT service management processes.</li>
<li>Understanding of data governance and data management principles.</li>
</ul><p><b>For applications and inquiries, contact:</b> hirings@openkyber.com</p></div>

Director of IT Governance

Realign

<div>Addison, Texas 75001 Posted March 12th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Role: Hadoop Data Engineer</b></div><div><b>
Location: Addison, TX</b></div><div><b>
FTE only</b></div><div></div><div><b><br>
Job Description</b></div><div><b>
Must Have Technical/Functional Skills</b></div><div></div><div><b><br>
Primary Skill: Hadoop (HDFS, Hive, Spark), Big Data ETL/ELT, Distributed Processing, MS SQL Server,</b></div><div><b>
Secondary: Artificial Intelligence/ Machine learning</b></div><div><b>
Experience: Minimum 10 years</b></div><div></div><div><b><br>
Roles &amp; Responsibilities</b></div><div>
? Design and implement scalable batch and/or streaming data pipelines using Hadoop ecosystem tools.</div><div>
? Develop and optimize data ingestion processes from multiple sources (RDBMS, files, APIs, logs).</div><div>
? Build and maintain datasets in HDFS/Hive and ensure data quality, lineage, and governance.</div><div>
? Perform performance tuning for distributed workloads (partitioning, file formats, resource management).</div><div>
? Create and optimize complex queries, stored procedures, and ETL workflows in MS SQL Server.</div><div>
? Collaborate with data scientists/analysts to deliver feature-ready datasets for ML models.</div><div>
? Implement monitoring and alerting for pipeline health and data SLAs.</div><div>
? Document architecture, workflows, data dictionaries, and operational runbooks.</div><div>
? Support production deployments, incident triage, and root cause analysis.</div><div></div><div><b><br>
Required Skills &amp; Qualifications</b></div><div>
? Strong hands-on experience with Hadoop components (e.g., HDFS, Hive, YARN, MapReduce/Spark).</div><div>
? Experience with data modeling and data warehousing concepts.</div><div>
? Solid proficiency in MS SQL Server (T-SQL, query optimization, indexing, stored procedures).</div><div>
? Experience with ETL/ELT design patterns and job scheduling (e.g., Oozie/Airflow/Control-M).</div><div>
? Strong understanding of distributed computing concepts and performance tuning.</div><div>
? Familiarity with Python/Scala/Java for data processing (any one preferred).</div><p>
? Bachelor&rsquo;s degree in Computer Science, Engineering, or equivalent experience.</p><p></p>
<p>Required Skills</p>
<p>DEVOPS ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p></div>

Hadoop Data Engineer-6

Iapetus Infrastructure Services

<div>
 <strong>
  Who We Are
  <br/>
  <br/>
 </strong>
 Iapetus Infrastructure oversees a portfolio of specialized field services companies, operating under one IIS umbrella. At IIS, our strength lies in the connective tissue that ties our operating companies together and allows us to best serve our clients. We are a team of thinkers, problem solvers, and industry experts who collectively deliver the right solution for our clients.
 <br/>
 <br/>
 <strong>
  Who You Are
  <br/>
  <br/>
 </strong>
 You appreciate the client relationship and understand that delivering an excellent experience to the client is critial to success. You enjoy problem solving and are able to think and react quickly; you have a keen eye for detail and are able to multi-task; and able to work collaboratively with multiple stakeholders. You are self-motiviated and able to work with little to no supervision; you practice good time management and you consistently take the intiative to get things done; and take action on matters before being asked by others or forced by event. You are naturally curious, malleable in your approach, and don&rsquo;t mind if every day looks a little different. You have appreciation for attention to detail, you&rsquo;re a team player and work towards achieving common goals for the client. You&rsquo;re honest and respectful in your communication style and when things goes astray, you understand that it&rsquo;s an opportunity to learn, take accountability and create a path forward.
 <br/>
 <br/>
 <strong>
  Position Summary
  <br/>
  <br/>
 </strong>
 The Data Engineer is responsible for expanding and optimizing our data collection and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing systems and building them from the ground up. The Data architect will support our database engineers, analysts and field supervisors on initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the needs of field operations, reporting and analyst teams. The right candidate will be excited by the prospect of optimizing and designing our company&rsquo;s data architecture to support our next generation of products and initiatives.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design data collection forms and pipelines for data extraction
  </li>
  <li>
   Create and maintain optimal data pipeline architecture
  </li>
  <li>
   Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  </li>
  <li>
   Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Fabric, and Azure big data technologies.
  </li>
  <li>
   Keep our data separated and secure.
  </li>
  <li>
   Create data tools for analysts that assist them in building and optimizing our product into an innovative industry leader.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in computer science or related degree or related experience required
  </li>
  <li>
   Experience designing data collection forms in Fulcrum or similar survey software is preferred
  </li>
  <li>
   Experience working with the utility industry preferred
  </li>
  <li>
   Effective communication skills required
  </li>
  <li>
   Proficient in using Microsoft Azure or other cloud data platform
  </li>
  <li>
   Profiecient in Data engineering
  </li>
  <li>
   Proficient in Python, JavaScript and SQL preferred
  </li>
  <li>
   Experience developing apps and environments in Fulcrum strongly preferred
  </li>
  <li>
   Experience in utility infrastructure or utility vegetation management preferred
   <br/>
   <br/>
  </li>
 </ul>
 This job description includes essential functions and basic duties and is intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not an exhaustive list of all functions, responsibilities, skills, and abilities. Additional functions and requirements may be assigned by supervisors as appropriate. This document is not a contract of employment, and the Company reserves the right to change this job description and/or assign tasks for the employee to perform, as the Company may deem appropriate.
 <br/>
 <br/>
 <strong>
  Work Environment
 </strong>
 - Hybrid, report into Houston, TX office location, near the Galleria area.
 <br/>
 <br/>
 <strong>
  Job Type -
 </strong>
 Full Time
 <br/>
 <br/>
 <strong>
  AFS is an Equal Employment Opportunity Employer
 </strong>
</div>


Graham Technologies

<div>
 Graham Technologies is seeking a Data Engineer to design, develop, and maintain scalable data pipeline infrastructure to support enterprise analytics and decision-support capabilities. The role focuses on integrating multiple systems into secure, high-performance data environments.
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Tampa, FL
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and implement batch and streaming data pipelines.
  </li>
  <li>
   Integrate data from multiple enterprise systems and external data sources.
  </li>
  <li>
   Implement ETL/ELT workflows for large-scale datasets.
  </li>
  <li>
   Maintain high availability and reliability for data pipeline infrastructure.
  </li>
  <li>
   Develop and manage data marts and analytics-ready datasets.
  </li>
  <li>
   Implement data governance, lineage tracking, and audit logging.
  </li>
  <li>
   Ensure compliance with security and data protection standards.
  </li>
  <li>
   Implement encryption, IAM policies, and secure data access controls.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Active Secret Clearance required TS/SCI preferred
  </li>
  <li>
   Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field.
  </li>
  <li>
   Minimum 5 years of experience building enterprise data pipelines.
  </li>
  <li>
   Strong programming experience in Python and SQL.
  </li>
  <li>
   Experience with distributed data processing frameworks.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desired Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience supporting large-scale enterprise data platforms.
  </li>
  <li>
   Experience building pipelines in cloud-based data lake architectures.
  </li>
  <li>
   Experience with real-time streaming data platforms.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Tools &amp; Technologies
  <br/>
  <br/>
 </strong>
 Python, SQL/NoSQL, Apache Spark, Apache Kafka, AWS Kinesis, Apache NiFi, Apache Airflow, AWS (S3, EC2, RDS, KMS), Azure Blob Storage, Azure Key Vault, CloudWatch, Splunk, Git, CI/CD.
 <br/>
 <br/>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 At Graham Technologies, we believe in treating everyone with fairness and respect. Our compensation package is designed to ensure fair pay for work, reflecting our commitment to integrity.
 <br/>
 <br/>
 Many IT companies offer similar services, but what truly sets us apart is our people! We care deeply about our employees and consistently show our appreciation-not just for the final outcomes, but also for the effort and dedication shown every step of the way. Additionally, our generous benefits package supports our team members in living fulfilling and prosperous lives.
 <br/>
 <br/>
 Here are just a few highlights of what we offer:
 <br/>
 <br/>
 <ul>
  <li>
   Four Weeks of Accrued PTO in the First Year
  </li>
  <li>
   Eleven Paid Federal Holidays
  </li>
  <li>
   Comprehensive Health, Dental, Vision, and Life Insurance
  </li>
  <li>
   401(k) Plan with Annual Employer Contributions
  </li>
  <li>
   Flexible Schedules
  </li>
  <li>
   Reimbursements for Continued Education and Training
   <br/>
   <br/>
  </li>
 </ul>
 Why Graham Technologies?
 <br/>
 <br/>
 <strong>
  Our Core Values Define Who We Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Value our Customers
  </li>
  <li>
   Care about our Employees
  </li>
  <li>
   Passionate about Innovation
  </li>
  <li>
   Believe in a Strong Work Ethic
  </li>
  <li>
   Rely on Teamwork
  </li>
  <li>
   Integrity Matters
   <br/>
   <br/>
  </li>
 </ul>
 Founded in 2007, GTech is a consulting services firm passionate about delivering tailored solutions that meet our clients' needs and maximize the value of their investments. We achieve this by providing top-notch professionals across the IT industry. Our team embodies integrity, commitment, and reliability, which are at the heart of everything we do.
 <br/>
 <br/>
 We are also dedicated to fostering a culture of support for our employees-the lifeblood of our business. At Graham Technologies, we've built a family-oriented environment where team members are encouraged to maintain a healthy work-life balance, pursue their passions, and grow professionally through flexible schedules, continued education, and a strong sense of community.
</div>


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Data Pipeline Engineer, Apple Ads Sales Ops

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Director of IT Governance

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