Sr. Data Engineer

We are actively recruiting for a Sr. Data Engineer to join our growing team!

We believe analyticsisnta back-office a reporting layer bolted onto the business after the real decisions get the foundation that tells you where riskactually lives where growth is hiding and where youremissing opportunitiesbefore its too late to do anything about it.

That belief is driving real investment in our people platforms and in how deeply analytics is woven into the way weoperate. From underwriting to distribution to customer experiencewerebuilding a data culture where insight drives action.

It also means evolving how we think about the role of a Data Engineer.

The expectationisntjust technical . Ownership. The ability to step into ambiguity frame the problem and help guide the business toward better decisions.

ABOUT THE ROLE:

In this role you will be a hands-on technical leader designing building and optimizing the data integrations cloud data infrastructure and data models that power analytics and data science across the company. You will lead the development of robust data pipelines orchestrate complex workflows using Azure native tools and implement data governance frameworks. You will collaborate with data scientists analysts and business leaders to turn raw data into scalable production-ready assets for real-time analytics engines portfolio risk platforms and client-facing digital products.

Pipeline Development

• Build and maintain scalable fault-tolerant ETL/ELT pipelines using Azure Data Factory Synapse and Databricks to ingest diverse financial datasets.
• Create and optimize data models (dimensional medallion/bronze-silver-gold) to support PowerBI semantic layers and downstream analytics.
• Implement automated data validation lineage tracking and monitoring frameworks to ensure the highest standards of data security privacy and regulatory compliance.
• Develop real-time data streaming and event-driven architecture using Azure Event Hubs and Azure Stream Analytics for instant fraud detection and transaction monitoring.

Infrastructure Design & Database Optimization

• Engineer and implement highly optimized Lakehouse architectures utilizing Azure Synapse Analytics and Microsoft Fabric ensuring efficient storage and querying of multi-terabyte data layers.
• Design optimized relational dimensional and graph data models for diverse analytics computing and workloads.
• Manage optimize and tune large-scale Azure SQL Databases and Managed Instances writing complex highly performant stored procedures and T-SQL queries.

DataOps & Automation

• Establish robust CI/CD deployment pipelines for all data assets using Azure DevOps ensuring automated testing validation and infrastructure-as-code.
• Collaborate with data scientists to productionalize ML feature pipelines and support MLOps workflows.
• Implement strict data masking row-level security and data lineage workflows using Microsoft Purview to comply with financial regulations.
• Act as a technical leader mentoring junior engineers and promoting modern Agile DataOps engineering practices: CI/CD for data pipelines testing version control and code review.

WHAT YOULL DO:

Education:

• Bachelors or Masters degree in Computer Science Engineering Mathematics or a related quantitative field
• United States Citizen or Green Card holder required

Experience:

• 6 years of dedicated experience in data engineering with at least 3 years focused on the Azure ecosystem within a transactional highly regulated environment.
• Core Languages: Mastery of T-SQL and advanced relational database concepts alongside strong scripting proficiency in Python (or PySpark).
• Orchestration & ETL: Extensive hands-on experience building complex control flows mapping data flows and parameterizing pipelines in Azure Data Factory.
• Big Data Compute: Proven experience processing large-scale data using Spark clusters within Azure Databricks.
• Storage & Warehousing: Deep understanding of Azure Data Lake Storage (ADLS Gen2) Delta Lake formatting and dedicated SQL pools in Azure Synapse.
• DevOps: Strong experience using Azure DevOps (Azure Pipelines Repos) for version control and deploying data engineering workloads.

Skills & Attributes:

• Excellent analytical problem-solving andcritical-thinkingskills.
• Strong communicationand collaboration abilities across technical and non-technical teams.
• Ability to manage multiple projects in a fast-pacedresults-driven environment

We are interested in candidates whoare developingcapabilities aligned with modern forward-looking analytics practices. This includes experience or familiarity with semantic data modeling and governed metric layers working within scalable cloud data platforms (e.g. Snowflake Databricks) and integrating analytics within broader data engineering workflows. Exposure to emerging capabilities such as AI-assisted analysis automated insight generation and advanced data visualization techniques is highly valued.

WHATS IN IT FOR YOU:

Join Our Team & Make an Impact! At Orion180 we dont just meet expectations we exceed them. If youre ready to take your career to the next level and be part of a growing forward-thinking company apply today!

• Dynamic Environment: On-site role with a fast-paced and collaborative team culture. Results-driven office where your contributions make a real impact.
• Compensation: Competitive base pay and performance bonuses.
• Career Growth: Mentorship growth tracks and professional development.
• Benefits: Medical dental vision 401k paid holidays PTO and more!

The office environment is fast-paced and collaborative. An employee must be willing and able to work their regularly assigned work schedule onsite and in times of need be able to work an extended schedule depending on company or departmental needs project requirements or customer demands.

While performing general duties for this position the employee is regularly required to sit stand and/or walk around (including the use of stairs). Other demands include the ability to openly communicate with others by talking listening comprehending and reading; being able to lift light objects (<25 lbs); and using standard office equipment such as computers printers and addition there is an occasional need to bend twist or squat down to open/close cabinets and reach for files or other standard office-type objects.

Orion180 is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or protected veteran status.

Reasonable accommodations are available for qualified individuals with disabilities during the application process. Applicants who need accommodations may email to request assistance.

Required Experience:

Senior IC