Data Engineer

Index Analytics; Baltimore (MD); Hybrid; USD 126,000 - 142,000; Full time

Job summary

Index Analytics, LLC, a Baltimore-based consulting firm, seeks an experienced Data Engineer to design reusable data workflows, build scalable ETL pipelines, and deploy data solutions in production. The role emphasizes governance, cloud architecture, and modern data platforms such as Microsoft Azure SQL and Snowflake.

You will migrate data from legacy warehouses, establish data quality rules, and contribute to compliant data practices while collaborating with cross-functional teams in a

Qualifications

• Must be a U.S. citizen.
• Bachelor’s Degree or equivalent, or 4 years’ relevant experience in lieu of a degree.
• 7 additional years of relevant experience.
• Ability to gain and hold a Public Trust clearance.

Responsibilities

• 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.

Skills

US citizenship

Public Trust clearance eligibility

Education

Bachelor’s degree or equivalent

4 years’ relevant experience in lieu of a degree

Tools

Microsoft SQL Server

Snowflake

Azure SQL

ETL pipelines

Job description

Job Details: Level: Experienced; Location: Remote – Baltimore, MD 21244; Education Level: 4-year degree; Salary Range: $126,000.00 – $142,000.00.

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 creating a dynamic and employee‑friendly workplace that promotes a supportive and collegial team environment and enhances staff’s experience through career development and educational opportunities.

Job Overview

As a Data Engineer, you will apply advanced data engineering principles to create reusable workflows for data ingestion, quality assurance, transformation, and optimization. You will build scalable pipelines using ETL tools and deploy robust data solutions into production environments. Migrating information from legacy data warehouses and leveraging modern cloud architecture—particularly within Microsoft Azure SQL and Snowflake environments—will be key aspects of your daily responsibilities. You will also play a pivotal role in establishing business processes that support strong data governance practices, including designing data quality rules and setting effective data compliance policies.

Responsibilities

• 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.

Qualifications

• Must be a U.S. citizen.
• Bachelor’s Degree or equivalent, or 4 years’ relevant experience in lieu of a degree.
• 7 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).
• Hands‑on experience with Snowflake platform (Intermediate proficiency).
• Hands‑on experience with ETL pipeline design and development (Intermediate proficiency).
• Hands‑on experience with 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).

Benefits

The salary range provided represents the estimated compensation for new hires in this position across all locations. Index complements its base salary offering with a competitive package that includes health and retirement benefits, discretionary bonuses, and reimbursement for professional development opportunities.

Index Analytics provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, recall, transfer, leaves of absence, compensation and training.