Data Engineer

Job not on LinkedIn

🕒 March 17

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $120k - $140k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

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Traackr

WebsiteLinkedInAll Job Openings

51 - 200 employees

☁️ SaaS

SaaS • Marketing

Traackr is an influencer marketing software platform designed for data-driven marketers. The platform streamlines influencer marketing by providing tools for discovery, campaign management, influencer collaboration, and reporting. Traackr focuses on helping users make smarter investments by offering a comprehensive global influencer dataset, market benchmarking, and expert guidance. It serves both small teams and complex programs, and is utilized by top brands to optimize strategies and measure return on investment.

📋 Description

• Develop, maintain, and optimize data pipelines for analytics and machine learning workloads. • Ensure reliability, scalability, and performance of data workflows. • Implement data ingestion from internal and external sources. • Collaborate with Data Scientists and Analysts to prepare datasets for modeling and analysis. • Build and maintain Databricks-based data pipelines and workflows. • Monitor, debug, and improve data pipeline performance and platform efficiency. • Develop tools and frameworks to automate data operations and ensure data quality. • Work with product and engineering teams to translate data requirements into solutions. • Participate in code reviews and follow data engineering best practices. • Maintain documentation and contribute to improving data engineering standards and tooling.

🎯 Requirements

• 2–4 years of experience in Data Engineering, Analytics Engineering, or a related field. • Experience building and maintaining data pipelines and ETL/ELT workflows. • Proficiency in Python and SQL for data processing and transformation. • Experience working with Databricks, Spark, or similar distributed data processing platforms. • Familiarity with data ingestion from APIs, databases, or cloud storage systems. • Experience working with cloud platforms such as AWS, Azure, or GCP. • Understanding of data modeling, data warehousing, and data quality practices. • Familiarity with version control (e.g., Git) and collaborative development workflows. • Ability to work collaboratively with Data Scientists, Analysts, and Engineers. • Strong problem-solving and communication skills.

🏖️ Benefits

• Competitive Salary • Remote Work Options with Hybrid Flexibility and Home Office Set-Up Stipend • Coworking Office Subscription for Collaborative Spaces • Health, Dental, and Life Insurance Coverage* • Open Vacation Policy and Flexible Holiday Schedule to Suit Your Needs • Paid Parental Leave to Support Quality Time with Your Loved Ones • Career Development, including Internal and External Training Opportunities