Data Engineer

Summary

Join Blue Orange Digital, a cloud-based data transformation and predictive analytics firm, as an experienced Data Engineer with hands-on Databricks expertise. You will be part of a talented team, working directly with clients to design, build, and maintain production data validation systems. This role requires proficiency in SQL, Python, and other data technologies, along with strong communication skills. You will contribute to data ingestion pipelines, data modeling, and ensuring data quality. The position offers a fully remote, flexible schedule with unlimited PTO and paid parental/bereavement leave. Experience with Databricks DLT and a background in data engineering is essential.

Requirements

• Databricks DLT (Delta Live Tables) experience
• 2+ years of core Databricks experience
• 4+ years of experience in a data engineering role, with expertise in ETL, data warehousing, data lakes, lakehouses, pipelines, modeling, data quality validation, and performance tuning
• Expert experience with data ingestion, modeling, and conformance/compliance validation
• Proficiency in SQL, Python, Spark, and data validation
• Experience with AWS, GCP, or Azure
• Ability to interact 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 skills

Responsibilities

• Provide advanced Databricks DLT (Delta Live Tables) performance improvement services, as well as Databricks infrastructure design, deployment, and operational services to our clients
• Offer expertise and data engineering support with Python, Spark, SQL notebooks, and jobs to our clients
• Work with the team and stakeholders to define data source, accuracy, and validation requirements
• Build and maintain data ingestion pipelines, data models, orchestrations, transformations, and validation tests
• Work with source data systems to extract and prepare data for analytics and testing
• Collaborate with technical and business teams to evolve the data architecture
• Work within an Agile environment to consistently deliver value for our clients

Preferred Qualifications

• Experience in the Real Estate Financial services sector is a plus
• Proficiency in R, Python, Scala, SPSS, Teradata, SAS, PowerBI, Tableau, and Looker is a plus

Benefits

• Fully remote
• Flexible Schedule
• Unlimited Paid Time Off (PTO)
• Paid parental/bereavement leave
• Worldwide recognized clients to build skills for an excellent resume
• Top-notch team to learn and grow with