Azure Data Engineer

MTC Talent; Washington (District of Columbia); On-site; USD 90,000 - 120,000; Full time

Job summary

Eastbanc Technologies is looking for an Azure Data Engineer in Washington, DC, to develop innovative data solutions and analytics that enhance member experiences. The ideal candidate will have extensive experience in data engineering, particularly with Azure services, and will contribute by building end-to-end solutions, optimizing data migrations, and collaborating across teams.

Requirements include a Bachelor’s degree in a technology-related field and expertise in Python and SQL. Join us to make a real impact and drive data-driven decision-making!

Qualifications

• 3+ years of experience designing and building reusable, scalable software solutions in data engineering.
• Expert knowledge in SQL.
• Design-thinking and excellent communication skills.

Responsibilities

• Build end-to-end direct capabilities for data processing.
• Write scalable code using Python.
• Query and analyze data sets for meaningful insights.

Skills

Python programming

SQL

Data engineering

Data visualization

Education

Bachelor’s degree in computer science or equivalent experience

Tools

Azure Data Factory

Databricks

Power BI

Job description

Eastbanc Technologies (EBT) develops innovative member and team member experiences that leverage the latest technologies in open source and the Cloud. Digital Information Management (DIM) is a team of engineers committed to championing a data‑driven decision‑making culture and meets the business demand for timely insight‑focused analytics and information delivery.

Do you want to make a difference and not have your creativity get lost in the corporate machine? Want to make a real impact in real time and be recognized for your contributions? If so, then Eastbanc Technologies wants you!

The Azure Data Engineer works with all levels of technology from backend data processing technologies (Databricks/Apache Spark) to other Cloud computing technologies / Azure Data Platform. You should be a strong analytical thinker, detail‑oriented and love working with data with a strong background in data engineering and application development. You must be a hands‑on technologist passionate about learning new technologies and helping to improve the ways we can better leverage Advanced Analytics and Machine Learning.

Specific Duties:

• Build end-to-end direct capabilities.
• Write scalable code with Python programming language.
• Build, test, and debug the software packages and pipelines required for optimal extraction, loading, and transformation (ELT) of data from a wide variety of data sources
• Use analytics for capitalizing on the data for making decisions and achieving better outcomes for the business.
• Derive insights to differentiate member and team member experiences.
• Collaborate with cross‑functional teams.
• Analyze and define with product teams the data migration and data integration strategies.
• Apply experience in analytics, data visualization and modeling to find solutions for a variety of business and technical problems.
• Querying and analyzing small and large data sets to discover patterns and deliver meaningful insights.
• Integrate source systems with information management solutions and target systems for automated migration processes.
• Create proof‑of‑concepts to demonstrate viability of solutions under consideration.

Qualifications

• Bachelor’s degree in computer science, information systems, or other technology‑related field or equivalent number of years of experience.
• 3+ years of strong experience designing and building reusable, scalable software solutions/components in data engineering field with Python language
• Expert knowledge in SQL
• Solid foundation in data structures, algorithms, design patterns and strong analytical and problem‑solving skills.
• Design‑thinking & excellent verbal and written communication skills
• Effective experience working with all levels of staff, management, stakeholders, vendors
• Experience eliciting and documenting requirements
• Advanced skill building effective relationships through rapport, trust, diplomacy, and tact

Additional Information

• 2+ years of data engineering experience with Azure data services, including Azure Data Factory, Databricks, Azure Storage (ADLS Gen2), and Azure SQL; or their AWS/GCP equivalents.
• Experience in analytical and data visualization tools and techniques (Power BI preferred)
• Experience in modeling and quantification concepts including statistics and probability principles
• Experience with Azure Analysis Service data modeling in Visual Studio/SSDT (SQL Server Data Tools)
• Working knowledge of banking/financial industry standards and practices

Eastbanc Technologies and MTC Talent are EEO employers.

All your information will be respected and handled according to EEO guidelines and all applicable laws.