Data Engineer

Job not on LinkedIn

🔥 7 minutes ago

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Elder Research

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1995

Analytics • Data Science • Financial Services

Elder Research is a data analytics company that specializes in crafting innovative analytics solutions to inform decision-making and transform organizations. With nearly 30 years of expertise, they provide services such as data strategy, analytics delivery, and workforce training across various industries, including healthcare, financial services, and government. Their comprehensive approach integrates advanced methodologies to address complex business challenges and deliver actionable insights.

📋 Description

• Join a motivated, career-oriented team as a Data Engineer. • Design, build, and maintain ETL pipelines across diverse data sources. • Implement data management standards and ensure data quality practices. • Collaborate with teams to optimize data loading and management processes.

🎯 Requirements

• At least three (3) years of professional experience in data engineering or a related field. • Demonstrated ability to design, build, and maintain scalable ETL pipelines across diverse data sources. • Familiarity with data governance, data quality, and data management practices consistent with Enterprise Data Management (EDM) standards. • Strong SQL and Python skills (or equivalent) to ingest and transform data from flat files, JSON, XML, Excel, APIs, and graph databases. • Hands-on experience loading, managing, and optimizing data within Databricks Unity Catalog and SQL Server managed instances. Proficient with streaming/batch ingestion frameworks and modern Lakehouse architecture. • Proven capability in implementing standard processes to ensure data quality, lineage, reliability, and performance while collaborating with cross-functional teams. • Experience supporting a fraud detection, anomaly detection, or financial oversight analytics environment.

🏖️ Benefits

• Employee wellness programs • Flexible work arrangements • Professional development opportunities