Senior Data Analytics Engineer on Core BTS's Data Analytics Data Platform team, focusing on analyzing, developing, and delivering BI solutions using the Microsoft Analytics stack and collaborating with clients to support decision making and scalable data solutions.

Responsibilities

Demonstrates commitment to client success with professionalism, transparency, and trust.
Designs, builds, and maintains databases, data pipelines, and data lakes.
Transforms and models data, develops reporting and analytics, creates dashboards, and utilizes analytical tools.
Understands business problems and processes through direct client conversations, sees the big picture, and translates it into concrete solutions.
Collaborates with DADP team members across the full data analytics lifecycle—from requirements gathering to delivery and documenting lessons learned.
Addresses conflicts directly, maintains positive intent, and escalates to leadership when needed.
Embraces change by adopting new practices, processes, or technologies.
Maintains a positive, professional, and confident demeanor in all interactions.
Responds to clients promptly and professionally.
Understands and pursues consistently meeting or exceeding client expectations.
Partners with clients to identify and address business needs.
Communicates clearly, concisely, and accurately in all communications.
Listens respectfully to colleagues and clients with an open mind.
Builds and sustains effective working relationships with teammates and stakeholders.
Collaborates to solve problems and prioritizes team success.
Meets commitments and delivers work on time.
Maintains accountability for personal responsibilities and actions.
Works independently or as part of a team of technical professionals.
Balances multiple projects while focusing on end users, clients, and project managers' needs.
Provides high quality service and recommendations to clients, project teams, and the broader NRI team.

Requirements

3 to 5 years of experience in data engineering.
Experience with Azure Data Factory, Azure Databricks, Azure Synapse, and Fabric.
Understanding of Agile engineering practices.
Knowledge of data warehouse and lakehouse methodologies, including medallion architecture.
Experience with ETL and ELT processes.
Data profiling and anomaly detection capabilities.
Data modeling expertise (Dimensional / Kimball).
Proficiency in SQL and a strong background in relational database platforms.
DevOps, CI/CD practices.
Growing familiarity and experience with Python.
Excellent analytical and problem-solving skills.
Effective oral and written communication and organizational skills.
Interest in ongoing education and certification related to the role.
Prior consulting experience is preferred but not required.

Technologies

Microsoft Analytics stack
Azure Data Factory
Azure Databricks
Azure Synapse
Fabric
SQL
Python

Compensation

Salary range: USD 97,000 - 130,000 per year

Benefits

Health, Vision, and Dental Insurance
Life Insurance
Health and Dependent Care Flexible Spending Accounts
401(k) Plan
Short-Term and Long-Term Disability Coverage
Generous Vacation and Flexible Time Off Programs
Company Paid Holidays
Training and Development Opportunities

Notices

The above description outlines the general nature and level of work performed by individuals assigned to this position. It is not an exhaustive list of all responsibilities, duties, knowledge, skills, or experience required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential duties.

NRI North America is proud to be an Equal Opportunity / Affirmative Action employer.

NRI North America will accept applications on an ongoing basis.

NRI North America will consider qualified candidates with criminal histories in a manner consistent with The Los Angeles Fair Chance Initiative for Hiring Ordinance.

If you require reasonable accommodation in completing an application, interviewing, or otherwise participating in the hiring process, please direct your inquiries to [email protected].

Senior Data Analytics Engineer