Data Engineer

3 weeks ago


Fairfield, New Jersey, United States Atlas Search Full time
About Atlas Search
Atlas Search is a leading provider of innovative data solutions, empowering businesses to make informed decisions. Our team is comprised of talented professionals who share a passion for data analysis and business acumen.

Job Summary
We are seeking an experienced Data Analyst to join our team. As a key member of our data analytics department, you will be responsible for designing and optimizing data architecture to deliver actionable insights. You will work closely with senior leadership to develop scalable data models, integrate data across platforms, and support financial analytics that underpin the firm's success.

Responsibilities
- Collaborate with senior staff to define and execute a strategic roadmap for efficient data processing and validation.
- Contribute to the design and maintenance of a comprehensive data model across key SaaS platforms (e.g., Orion, Salesforce).
- Assist in designing, building, and optimizing data pipelines to aggregate data from multiple sources.
- Identify, troubleshoot, and automate data validations to maintain data quality and minimize manual intervention.
- Support data integration within Salesforce, Azure, and/or AWS environments.

Qualifications
- 3-5 years of experience in data analysis, data modeling, or business intelligence with a focus on financial data environments.
- Proficiency in SQL and experience in data integration using APIs and data pipeline tools like Alteryx (highly preferred), Fivetran, Knime, or Savant Labs.
- Strong understanding of financial metrics and reporting processes; experience within finance or SaaS-driven industries is advantageous.
- Analytical skills to develop, implement, and maintain scalable data structures; advanced problem-solving skills are essential.

Salary
$85,000 - $110,000 per year

About the Role
This is an excellent opportunity to join a dynamic team and contribute to the development of cutting-edge data solutions. If you have a passion for data analysis and business acumen, we encourage you to apply.

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