Data Engineer IV (6329)

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