Senior Data Engineer

Company overview:

Blue Orange Digital is a cloud-based data transformation and predictive analytics development firm with offices in NYC and Washington, DC. From startups to Fortune 500s, we help companies make sense of their business challenges by applying modern data analytics techniques, visualizations, and AI/ML. Founded by engineers, we love passionate technologists and data analysts. Our startup DNA means everyone on the team makes a direct contribution to the growth of the company.

Position overview:

Blue Orange is looking for an experienced Data Engineer to join our talented multi-disciplinary team. The ideal candidate will have a passion for all things data engineering, modern data infrastructure practices and patterns. The ideal candidate will be well-versed in SQL and modern data technologies, understand how to drive the extraction of business requirements for data transformations, assess data quality, and have great communication skills. This candidate will work with our clients directly to help design, build, scale, and maintain production data validation systems and platforms.

Working Hours: Please note that this role requires adherence to U.K. working hours. Candidates must be available to work during standard business hours in the United Kingdom, regardless of their local time zone.

Responsibilities:

• Provide SQL expertise and data engineering support to our client in U.K. hours.
• Work with the team and stakeholders to define data source, accuracy, and validation requirements.
• Build, maintain, and manage data ingestions, data models, orchestrations, transformations, and validation tests.
• Work with source data systems to extract and prepare data for analytics and testing.
• Work with technical and business teams to evolve the data architecture.
• Work within an Agile environment to constantly deliver value for our clients.

Basic Qualifications:

• 5+ years of experience in a data engineering role, with experience in ETL, data warehousing, data lakes, lakehouses, pipelines, modeling, and data quality validation.
• Expert experience with data ingestion, modeling, and conformance/compliance validation.
• Expert-level skills with SQL, statistical analysis, and data validation.
• Experience with AWS, GCP, or Azure.
• Interacts with others using sound judgment and a steady professional demeanor in a fast-paced environment.
• BA or BS degree in a technical or quantitative field (e.g., computer science, statistics).
• Excellent verbal and written English communication.
• Experience in the financial services industry, specifically corporate loan processing, risk, and reporting experience a plus.
• R, Python, Scala, SPSS, Teradata, SAS, PowerBI, Tableau, Looker are pluses.

Required Skills and Experience:

• Degree in Computer Science, Computer Engineering, or Mathematics …