Sr. Data Engineer

Job Title: Senior Data Engineer
Location: 100% Remote (US Only)
Compensation: $120,000 - $125,000 + Comprehensive Benefits Package
Reports to: Senior Director of Business Intelligence, Infrastructure and Operations

Served with Honor is seeking a Senior Data Engineer to design, develop, and maintain data infrastructure and pipelines, ensuring the availability, efficiency, and reliability of our data processing systems. In this role, you will optimize data storage and retrieval processes and build scalable, robust data pipelines for analysis. You’ll work closely with cross-functional teams to develop solutions that transform and streamline data for better decision-making.

At Served with Honor, we are dedicated to improving the lives of veterans, and we prioritize a supportive, mission-driven culture with a high employee engagement rate. We’re looking for a Senior Data Engineer with a passion for data optimization and a deep understanding of Azure technologies to contribute to a growing remote-first organization.

What You’ll Do:

Data Pipeline Development:

• Design, build, implement, and maintain ETL data processing pipelines using Azure Stack to extract, transform, and load data from various sources.

• Develop scalable solutions to transform data into useful formats for analysis, enhancing data flow and making data easier to consume and analyze for end users.

Database and Data Infrastructure:

• Write complex SQL queries to support data analysis and business needs.

• Collaborate with architects, engineers, data scientists, analysts, and product teams to translate business requirements into technical data pipeline solutions.

• Work with a variety of data stores, including data lakes, relational databases, and data warehouses, ensuring seamless integration and accessibility.

Tool and Technology Management:

• Evaluate, recommend, and implement new tools and technologies for data infrastructure and processing.

• Work with tools and technologies such as Python, SQL, Hadoop, Spark, Hive, Azure Blob, ALDS2, Databricks, Azure Data Factory, etc.

Collaboration and Innovation:

• Partner with key stakeholders to develop solutions that enhance data flow and ensure the reliability and scalability of the data pipeline infrastructure.

• Continuously improve the data pipeline process by identifying and solving complex problems.

Independent Work:

• Work with minimal supervision, applying independent judgment to solve complex, high-impact issues while maintaining a focus on quality and efficiency.

• Manage tasks effectively, working autonomously and collaboratively within the team.

What You’ll Bring:

Experience:

• 6+ years of relevant experience in data engineering or a similar field, with strong experience in data pipeline creation and optimization.

• Strong proficiency in SQL, Python, and other relevant programming languages.

• 5+ years of experience with Azure Stack, including Azure Data Factory, Databricks, and building data lakes (ALDS2) with Blob Storage pipelines.

• Experience with Snowflake is a plus.

• Hands-on experience with data modeling, database design, and working with structured and unstructured data.

• Strong analytical and problem-solving skills, with the ability to handle complex data challenges.

• Excellent communication and collaboration skills, with the ability to work effectively across different teams and stakeholders.

Education:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.

Compensation and Benefits:
Along with competitive pay, full-time employees are eligible for the following benefits:

• Healthcare: PPO and HSA plans

• Retirement: 401(k) with up to 3% employer match

• Flexible Spending: Health Savings Account (HSA) and Flexible Spending Accounts (FSA)

• Paid Time Off: 30 Days Paid Time Off (PTO), plus 12 paid holidays, including Christmas closure

• Insurance: Short and Long-Term Disability, Life Insurance

• Family & Medical Leave: Paid Parental Leave, Military Leave, and Bereavement Leave

• Other Benefits: Employee discounts, Jury Duty Pay, Time-Off to Vote, and more