Data Engineer Consultant New New York

Indicium; New York, Northern (NY, KY); On-site; USD 120,000 - 175,000; Full time

Job summary

Indicium is seeking a Data Engineer Consultant for our US Delivery Team. You will build and deploy production-grade data pipelines for major enterprise clients, modernizing legacy setups into cloud-native Lakehouses and making data clean, fast, and AI-ready.

You will work with Databricks, dbt, Python, and Terraform, collaborating with clients and global squads to ship solutions in weeks. The role combines hands-on coding with consultancy, data modeling, and governance.

Qualifications

• Hands-on experience building production data pipelines in Python and SQL.
• Experience with Databricks Lakehouse platform.
• Proficiency with dbt for data transformation, testing, and documentation.
• IaC via Terraform to deploy cloud data infrastructure.
• Experience with Git and CI/CD; Airflow or similar schedulers.
• Consulting/delivery mindset and client-facing skills.

Responsibilities

• Build Lakehouse Modernization Pipelines converting legacy setups to high-performance Databricks-based pipelines.
• Model and transform data with modular, tested dbt models and SQL.
• Automate infrastructure with Terraform for AWS/GCP and enforce governance with Unity Catalog.
• Design and monitor ELT/ETL workflows with Airflow and Databricks Workflows.
• Collaborate with client teams during standups, reviews, and nearshore delivery.

Skills

Python

SQL

Databricks

dbt

Terraform

Unity Catalog

Airflow

PySpark

Delta Live Tables

Git

Tools

Databricks

Terraform

Git

Airflow

dbt

Job description

Data Engineer Consultant (US Delivery Team)

The Opportunity

As a Data Engineer Consultant on our US team, you will build and deploy production-grade data pipelines for major enterprise clients. You will spend your day-to-day writing code, modernizing brittle legacy setups into cloud-native Lakehouses, and making client data clean, fast, and ready for AI applications.

In this role, you will work directly with modern technologies like Databricks, dbt, Python, and Terraform, collaborating with technical clients and our global engineering squads to ship solutions in weeks, not months.

Key Responsibilities

Build Lakehouse Modernization Pipelines: Convert legacy data setups (Informatica, PL/SQL, legacy data warehouses) into high-performance PySpark, Databricks SQL, and Delta Live Tables (DLT) using Medallion Architecture standards (Bronze, Silver, Gold).

Data Modeling & Transformation: Write clean, modular, and tested dbt models and advanced SQL to transform raw client data into trusted, business-ready datasets.

Automate Infrastructure (DataOps): Use Terraform to provision cloud resources (AWS/GCP) programmatically and enforce data governance using Unity Catalog.

Integrate & Orchestrate: Build and monitor automated ELT/ETL workflows using tools like Apache Airflow and Databricks Workflows, ensuring data quality, lineage, and strict SLA compliance.

Client Engagement & Collaboration: Embedded directly within client projects, participating in daily standups, code reviews, and working closely with our nearshore delivery squads to deliver on time.

Troubleshoot & Optimize: Debug failing pipelines, tune complex SQL/Spark queries for performance, and reduce cloud computing costs for our clients.

Qualifications & Requirements

Technical Stack

Hands-On Data Engineering: Strong background writing production code in Python and advanced SQL.

Databricks Experience: Hands-on experience building on the Databricks Lakehouse platform (Delta Lake, PySpark, Unity Catalog, Workflows).

dbt Mastery: Solid experience using dbt for data transformation, testing, and documentation.

Infrastructure as Code (IaC): Practical experience writing Terraform scripts to deploy AWS or GCP cloud data infrastructure.

Orchestration & Version Control: Proficient with Git (GitHub/GitLab) for CI/CD workflows and experience with schedulers like Airflow.

Consulting & Delivery Mindset

Client-Facing Comfort: Ability to communicate technical decisions clearly to client teams and collaborate in a fast-paced consulting environment.

Problem-Solving Grit: Ability to jump into unfamiliar legacy codebases, figure out how the data flows, and rebuild it cleanly without needing a rigid playbook.

Quality Focus: Passion for writing testable, documented, and reusable code.

Nice-to-Haves

Databricks, AWS, or dbt certifications.

Experience working on migration projects from legacy warehouses (Teradata, Netezza, Snowflake, Redshift) to Databricks.

Familiarity with streaming tools like Apache Kafka or CDC (Change Data Capture) pipelines.

The anticipated base salary range for this role is $120,000 - $175,000. In addition to base pay, this position may be eligible for an annual discretionary bonus. An individual's final salary offer will be determined based on a variety of factors, including geographic location, experience, specialized skills, and qualifications. This compensation range is subject to updates or modifications at the company’s discretion

As set forth in Indicium AI's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.