Data Engineer

Index Analytics, LLC, is a rapidly growing Baltimore-based small business providing health related consulting services to the federal government. At the center of our company culture is a commitment to instilling a dynamic and employee-friendly place to work. We place a priority on promoting a supportive and collegial team environment and enhancing staff’s experience through career development and educational opportunities.

Job Overview As a Data Engineer in this role, you will apply advanced data engineering principles to create reusable workflows that cover ingestion, quality assurance, transformation, and optimization of data. You will be responsible for building scalable pipelines using ETL tools, ensuring that data is efficiently extracted, transformed, and loaded into target systems. Your work will involve deploying robust data solutions into production environments and migrating information from legacy data warehouses by leveraging modern cloud architecture, particularly within Microsoft Azure SQL and Snowflake environments.

Automating the flow of data for seamless consumption will be a key aspect of your daily responsibilities.

You will also play a pivotal role in establishing business processes that support strong data governance practices. This includes designing and advising on comprehensive data quality rules and setting up effective data compliance policies to ensure organizational standards are met. Exposure to ETL pipeline development, cloud-based data migration, and the implementation of data governance frameworks will be highly beneficial.

Experience with optimizing data workflows, deploying solutions in cloud environments, and automating data processes will help you excel in this position.

Responsibilities This role is centered on Snowflake as the primary data platform. Candidates are expected to demonstrate deep experience designing, developing, and optimizing enterprise-scale data solutions within Snowflake environments.

Apply data engineering principles to develop reusable workflows for data ingestion, quality, transformation, and optimization

Set up and maintain effective data compliance policies

Build scalable data pipelines using ETL tools and processes

Deploy data solutions to production environments

Migrate data from legacy data warehouses leveraging cloud architecture principles

Automate the flow of data for efficient consumption

Build and implement business processes that enable data governance

Design and advise on data quality rules

Must be a US citizen

As a US Citizen, you will be expected to work within compliance and security guidelines, ensuring that all deliverables meet organizational and regulatory standards.

Bachelor’s Degree or equivalent OR 4 years’ relevant experience in lieu of degree7 additional years of relevant experience

Ability to gain and hold a Public Trust clearance

Technical Requirements:

Hands-on experience with:

Microsoft SQL Server (Intermediate proficiency)
Snowflake platform (Intermediate proficiency)
ETL pipeline design and development (Intermediate proficiency)
Microsoft Azure SQL (Intermediate proficiency)
Experience building and deploying data pipelines in production environments

Strong understanding of data engineering principles and data lifecycle management

Professional Requirements:

Ability to work independently and collaboratively in cross-functional teams

Strong organizational, time management, and multitasking skills

High attention to detail and commitment to data quality and accuracy

Preferred Qualifications

Experience with modern cloud data architecture and platforms

Proficiency with ETL tools such as Informatica, Talend, Azure Data Factory, or dbt

Experience with cloud-based governance frameworks and implementation

Experience with automation or scripting (E.g., Python, SQL, CI/CD pipelines)
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