Data Engineer

at  Elder Research

SUMMARY OF POSITION:

The Data Engineer will be responsible for designing, implementing, and optimizing data pipelines and infrastructure, particularly in the context of Salesforce CRM. The candidate will support the bulk data import/export processes, ensure data integrity, and integrate external data systems with Salesforce. This position requires experience in cloud-based environments, API integrations, and a working knowledge of Salesforce tools and architecture.

JOB SPECIFICATIONS/REQUIREMENTS:

• Proficiency in data pipeline tools and frameworks (e.g., Apache Airflow, AWS Glue, Databricks).
• Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
• Strong understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
• Experience with Salesforce CRM tools such as Data Loader, Bulk API, and Data Import Wizard.
• Knowledge of Salesforce data structures, including standard and custom objects, to ensure smooth integration and data handling.

EDUCATION AND EXPERIENCE REQUIREMENT:

• Minimum Education: Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field.
• Experience Requirement: At least four (4) years of technical experience in data engineering or a related field.
• Alternative Experience: In lieu of a degree, four additional years of relevant field-related experience (total of 8 years).

• Design, build, and maintain scalable data pipelines and ETL processes to support large-scale data operations in Salesforce CRM.
• Evaluate current data systems and recommend improvements to support Salesforce’s performance, scalability, and integration requirements.
• Utilize Salesforce tools like Data Loader and Bulk API for efficient data migration and import/export processes.
• Collaborate with cross-functional teams to gather requirements, particularly around Salesforce data handling and integration needs.
• Implement best practices for data cleansing, transformation, and migration within the Salesforce ecosystem.
• Provide technical leadership and mentoring to junior team members.
• Ensure data quality, security, and compliance with federal standards.