Data Engineer

HTD Talent; Atlanta (GA); On-site; USD 110,000 - 150,000; Full time

Job summary

HTD Talent is seeking an experienced Data Engineer to support an Integrated Firm Management Assets & Revenue Data initiative. The role focuses on building a scalable Snowflake data foundation to standardize and operationalize asset and revenue information across entities.

You will analyze data flows, ingest data from multiple sources, and design pipelines while collaborating with stakeholders in a client-facing environment.

Qualifications

• 5–10 years of data engineering experience in a client-facing environment.
• Strong Snowflake experience.
• Hands-on experience with Informatica DataStage or similar data-staging tools.
• Strong DB2 experience.
• Proficiency with Python.
• Experience with data analysis and technical planning.
• Ability to design, test, optimize, and operationalize data pipelines.

Responsibilities

• Analyze and document asset and revenue data flows.
• Develop tranche-based automation plans.
• Integrate and ingest data from multiple sources.
• Apply data-matching and transformation logic.
• Optimize data pipelines and supporting code.
• Test solutions and schedule production jobs.
• Support production rollouts for each project milestone.
• Collaborate with stakeholders in a client-facing environment.

Skills

Snowflake

Python

DB2

Informatica DataStage

Data pipelines

Client-facing

Data analysis

Technical planning

Tools

Informatica DataStage

Job description

Must be local to Alpharetta/Atlanta, GA, or New York, NY.

Must be available to work onsite at least three days per week.

Employee Type: W2 only.

Work Authorization: US Citizens only

Overview

Our client is seeking an experienced Data Engineer to support an Integrated Firm Management Assets & Revenue Data initiative. This consultant will build a scalable, high-quality data foundation in Snowflake to standardize, curate, and operationalize asset and revenue information across multiple entities.

Responsibilities:

• Analyze and document asset and revenue data flows.
• Develop tranche-based automation plans.
• Integrate and ingest data from multiple sources.
• Apply data-matching and transformation logic.
• Optimize data pipelines and supporting code.
• Test solutions and schedule production jobs.
• Support production rollouts for each project milestone.
• Collaborate with stakeholders in a client-facing environment.

Required Qualifications:

• 5–10 years of relevant data engineering experience.
• Experience in a client-facing role.
• Strong Snowflake experience.
• Hands-on experience with Informatica DataStage or similar data-staging tools.
• Strong DB2 experience.
• Proficiency with Python.
• Experience with data analysis and technical planning.
• Ability to design, test, optimize, and operationalize data pipelines.