Data Engineer IV
BC Forward
Indianapolis, United States of America
2 days ago
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
$ 148KJob location
Remote
Indianapolis, United States of America
Tech stack
Adobe Analytics
Query Performance
Agile Methodologies
Artificial Intelligence
Airflow
Business Analytics Applications
Data analysis
Bash
Big Data
Google BigQuery
Continuous Integration
Data Architecture
Information Engineering
Data Governance
ETL
Data Warehousing
Google Analytics
Hive
Python
Meta-Data Management
Salesforce
SQL Databases
Data Streaming
Tableau
Web Analytics
Workflow Management Systems
Large Language Models
Snowflake
Prompt Engineering
Spark
Generative AI
GIT
Data Lineage
Kafka
Spark Streaming
Presto
Video Streaming
Looker Analytics
Data Pipelines
Job description
We are seeking a Data Engineer IV to join our dynamic team supporting client Customer Experience organization. The ideal candidate will have strong experience in building scalable data pipelines, data architectures, and self-service analytics with AI enablement and a proven ability to deliver actionable insights, automate workflows, and improve customer experience outcomes., * Design, develop, integrate, launch, and maintain scalable batch and streaming data pipelines across PSO.
- Build and optimize ETL/ELT workflows, data models, and data warehouse architectures.
- Implement data quality frameworks with validation, monitoring, alerting, and lineage tracking.
- Develop and manage orchestration workflows (e.g., Airflow, Dataswarm) for scheduling and dependencies.
- Optimize query performance, pipeline efficiency, and storage costs at scale.
- Create interactive visualizations and self-service dashboards that communicate complex insights.
- Integrate diverse data sources including customer interactions, feedback, behavioral data, and operational logs.
- Develop and track KPIs to measure the effectiveness of customer experience initiatives.
- Enable AI/ML analytics by building feature pipelines, curated datasets, and model-ready assets.
- Leverage LLMs and generative AI to automate data workflows and accelerate insight generation.
- Develop prompt engineering frameworks, AI-assisted reporting, and intelligent automation solutions.
- Partner with engineering and data science to integrate model outputs into dashboards and operations.
- Evaluate emerging AI tools and techniques to advance analytics and data engineering capabilities.
- Collaborate with customer service, operations, product, and engineering to drive data-informed decisions.
- Champion data literacy and AI enablement through documentation, training, and best practices.
Requirements
- 8+ years of experience in quantitative and operational analyses within customer support/service, e-commerce, or order management.
- Proven data engineering skills building production-grade pipelines, data models, and ETL/ELT at scale.
- Proficiency in SQL and one programming language, preferably Python.
- Experience with data warehousing platforms such as Hive, Presto, Spark, Snowflake, or BigQuery.
- Experience with workflow orchestration tools such as Airflow or Dataswarm.
- Experience creating self-service dashboards with Tableau, Looker, or equivalent.
- Knowledge of data quality frameworks, data governance, and dimensional data modeling.
- Hands-on AI/ML enablement experience, including feature pipelines or LLM-based analytics workflows.
- Ability to manipulate large datasets to generate insights and solutions.
- Record of operating independently, managing ambiguity, and delivering results.
- Strong communication skills for technical and non-technical audiences.
- Cross-functional experience influencing change through data-driven insights.
Preferred Skills:
- Experience with generative AI, including prompt engineering, RAG, LLM APIs, or agent workflows.
- Familiarity with Git, CI/CD for data pipelines, and infrastructure-as-code.
- Experience with streaming technologies such as Kafka or Spark Streaming.
- Knowledge of metadata management, data cataloging, and lineage tools.
- Background in CX/CS operations and metrics; familiarity with Salesforce.
- Experience with digital analytics tools such as Google Analytics or Adobe Analytics.
- Experience scripting automation and internal tooling in Python or Bash.
- Familiarity with agile development methodologies.
- Experience in high-volume consumer electronics and operations for customer experience or support.
Benefits & conditions
- Competitive compensation and benefits.
- Opportunities for growth with global clients.
- A supportive, inclusive culture that values innovation and people.
- Exposure to cutting-edge technologies and projects.
About the company
BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.