Data Engineer IV
itD is seeking a Data Engineer IV to design and scale data infrastructure that powers customer experience insights across Company Post Sales Organization. This role will drive the development of robust data pipelines, enable AI-driven analytics, and deliver high-impact data solutions that enhance customer support, operations, and business decision-making. The ideal candidate will bring deep expertise in data engineering and AI enablement and a proven track record of delivering scalable data pipelines, self-service analytics platforms, and automation solutions.
Location: Remote (Preference for PST timezone)
Duration: 12months
We provide comprehensive medical benefits, a 401k plan, paid holidays, and more.
Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship.
Responsibilities
- Design, build, and maintain scalable data pipelines (batch and streaming) to support multiple business use cases
- Develop and optimize ETL/ELT workflows, data models, and data warehouse architectures for efficient data processing
- Implement data quality frameworks including validation, monitoring, and alerting to ensure data reliability
- Create and maintain self-service dashboards and visualizations to communicate insights to stakeholders
- Enable AI/ML-driven analytics by building feature pipelines and integrating model-ready datasets
- Automate data workflows and reporting using AI tools to improve efficiency and reduce manual effort
- Collaborate cross-functionally with product, engineering, and operations teams to deliver data-driven solutions
Internal Responsibilities
- Attend regular internal practice community meetings
- Collaborate with your itD practice team on industry thought leadership
- Complete client case studies and learning material (blogs, media material)
- Build out material to contribute to the Digital Transformation practice
- Attend internal itD networking events (in person and virtual)
- Work with leadership on career fast-track opportunities
Required Qualifications and Skills
- 6+ years of experience in data engineering, analytics, or related domain
- Strong proficiency in SQL (complex queries, performance tuning) and Python
- Experience designing and building production-grade ETL/ELT pipelines at scale
- Hands-on experience with workflow orchestration tools (e.g., Airflow or equivalent)
- Experience with data warehousing platforms (e.g., Spark, Hive, Snowflake, BigQuery)
- Experience building data visualizations and dashboards (Tableau or similar tools)
- Strong understanding of data modeling and data governance best practices
- Experience enabling AI/ML workflows, including feature pipelines or AI-assisted analytics
Preferred Qualifications and Skills
- Experience with generative AI tools, prompt engineering, or LLM-based workflows
- Familiarity with streaming data technologies (e.g., Kafka, Spark Streaming)
- Experience with CI/CD, version control (Git), and infrastructure-as-code practices
- Background in customer experience or customer support operations analytics
- Experience with digital analytics tools (e.g., Google Analytics, Adobe Analytics)
- Experience working in fast-paced, high-growth environments or large-scale tech organizations
- Prior experience in a contractor or contingent workforce model
Education
- Bachelor’s degree in Computer Science or a related field required
Company Description
About itD: We are part of a new generation of consulting and software development company that blends diversity, innovation, and integrity with real business results. Our structure rejects any strong hierarchy, empowering us to deliver excellent results. We are a woman- and minority-led firm. Every day, we challenge ourselves to be considerate, fair and to re-think what great outcomes mean for our customers. This permeates down to how we approach every interaction, on every project, for every client. You’ll thrive here if you are a dynamic self-starter, a difference-maker or someone who wants to deliver great results, without constraints.
The itD Digital Experience: Joining us means you’ll be part of our global community, you have a say about your own career journey, and you’ll get a chance to give back to causes that matter. You will experience working with Fortune 500 companies and high-performance teams across numerous industries. itD offers our employees excellent benefits such as medical, dental, vision, life insurance, paid holidays, 401K + matching, networking & career learning and development programs. We are growing and we want to see you grow! Visit https://itdtech.com/careers to learn more about what working at itD can mean for you.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. itD is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please contact us at [email protected] and let us know the nature of your request and your contact information.
Additional Info
Dynamic environment in a culture of respect, empowerment and recognition for a job well done, apply today!
Skills Required
- 6+ years of experience in data engineering, analytics, or a related domain
- Strong proficiency in SQL, including complex queries and performance tuning
- Strong proficiency in Python
- Experience designing and building production-grade ETL/ELT pipelines at scale
- Hands-on experience with workflow orchestration tools such as Airflow or equivalent
- Experience with data warehousing platforms such as Spark, Hive, Snowflake, or BigQuery
- Experience building data visualizations and dashboards using Tableau or similar tools
- Strong understanding of data modeling and data governance best practices
- Experience enabling AI/ML workflows, including feature pipelines or AI-assisted analytics
- Bachelor's degree in Computer Science or a related field
- Experience with generative AI tools, prompt engineering, or LLM-based workflows
- Familiarity with streaming data technologies such as Kafka or Spark Streaming
- Experience with CI/CD, Git, and infrastructure-as-code practices
- Background in customer experience or customer support operations analytics
- Experience with Google Analytics, Adobe Analytics, or similar digital analytics tools
- Experience in fast-paced, high-growth environments or large-scale technology organizations
- Prior experience working in a contractor or contingent workforce model
What We Do
itD is a different kind of technology and software development consultancy that puts client needs at the center of what we do. We combine the experience of a full-service consultancy with the agility of a specialized firm to help clients reimagine and improve operations and solve challenges unique to their business. Founded in 2005, we are headquartered in Silicon Valley and are honored to have long term partnerships with many of the world’s leading enterprise technology firms. With onshore, nearshore and offshore capability centers we are able to provide seamless global reach. We define ourselves by solving the toughest challenges in business. To tackle these challenges, we deploy the best people armed with the best technology to help our clients by enabling next-generation experiences, transforming tech operations, leveraging BI and analytic depth to convert data to advantage, delivering advanced DevOps and software development services and unlocking the potential of AI. Our mantra as itD is “Innovate Transform Deliver” and as a proud woman- and minority-owned business, we are focused on delivering a unique perspective and approach that attracts a robust and diverse talent pool. We believe this diversity of talent, thinking and perspective leads to better outcomes for our clients and a positive impact in our communities through our focus on giving back initiatives. We invite you to bring us the challenges no one else can solve. Because while other firms might give up, pivot, or pass… Impossible drives us. Certified Woman Owned - WBENC
