Posted at: 21 January

Lead Data Engineer

Company

Everstream Analytics

Everstream Analytics is a San Marcos, CA-based B2B technology company specializing in supply chain risk management and analytics, providing predictive insights for businesses globally.

Remote Hiring Policy:

Everstream Analytics supports remote work and is hiring for various roles, including fully remote positions. Team members are located in regions such as Europe, with flexibility for collaboration across time zones.

Job Type

Full-time

Allowed Applicant Locations

Poland, Europe

Salary

$100,000 to $150,000 per year

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Job Description

About Us:

Everstream Analytics is a technology-driven company that is revolutionizing Supply Chain Risk Analytics. We’re looking for a talented and experienced Lead Data Engineer to join our team.

What You’ll Do:

  • Management: Manage and grow a remote team of data engineers based in Europe.

  • Architect Data Solutions: Collaborate with Platform and Data Architecture teams to deliver robust, scalable, and maintainable data pipelines.

  • Lead Data Initiatives: Lead and own data engineering projects, including data ingestion, transformation, and storage.

  • Real-Time Data Processing: Develop and optimize real-time data processing pipelines using technologies like Apache Kafka/MSK or similar.

  • Data Lakehouse and ETL: Design and implement data lakehouses and ETL pipelines using AWS services like Glue or similar.

  • Data Modeling and Optimization: Create efficient data models and optimize database queries for optimal performance.

  • Collaborate with Stakeholders: Work closely with data scientists, product managers, and engineers to understand data requirements and translate them into technical solutions.

  • Mentor and Guide: Mentor junior data engineers and share your expertise. Establish and promote best practices.

What You’ll Need:

  • Strong Python Proficiency: Deep understanding of Python, including data manipulation and analysis libraries like Pandas and NumPy or similar.

  • Data Engineering Expertise: Extensive experience in data engineering, including ETL, data warehousing, and data pipelines.

  • Cloud Platform Proficiency: Strong knowledge of AWS services, such as RDS, Lake Formation, Glue, Spark, etc.

  • Real-Time Data Processing: Experience with real-time data processing frameworks like Apache Kafka/MSK.

  • Database Skills: Proficiency in SQL and NoSQL databases, including PostgreSQL, Opensearch, and Athena.

  • Data Modeling: Ability to design efficient and scalable data models.

  • Problem-Solving and Analytical Skills: Strong analytical skills to identify and solve complex data problems.

  • Collaboration Skills: Excellent communication and collaboration skills to work effectively with cross-functional teams.

Why Join Us:

  • Impactful Work: Contribute to data-driven decision-making and product innovation.

  • Collaborative Culture: Work with a talented, passionate team from across the world.

  • Continuous Learning: Opportunities to learn new technologies and skills.

  • Competitive Compensation: A competitive salary and benefits package.

We are looking for a hands-on Lead data engineer who is passionate about data, enjoys solving complex problems, and is excited to build and lead scalable data teams and solutions.

100% Remote Position

#LI-

Apply Here