Senior Software Data Engineer

TubeScience; United States; Remote; USD 80,000 - 130,000; Full time

Job summary

An innovative performance video agency is seeking a Senior Software Data Engineer to lead the development of scalable data ingestion pipelines. In this pivotal role, you will establish a robust data infrastructure, optimizing the architecture for long-term success. Collaborate with cross-functional teams, mentor junior engineers, and drive impactful changes in how ad performance data is managed. Join a dynamic environment that values your ideas and fosters growth, making a significant impact in the digital advertising landscape. If you're ready to take on this exciting challenge, we want to hear from you!

Benefits

Dynamic work environment

Opportunity for growth

Collaborative culture

Qualifications

• Proven experience in data engineering with a focus on data pipelines.
• Strong understanding of data ingestion tools like Airbyte and Dagster.

Responsibilities

• Design and implement scalable data ingestion pipelines.
• Manage API interactions for efficient data pulls.
• Collaborate with teams and mentor junior engineers.

Skills

Python

SQL

Data Ingestion

ETL Processes

Problem Solving

Education

Bachelor's Degree in Computer Science or related field

Tools

Airbyte

Dagster

Temporal

AWS

GCP

Azure

Job description

Are you a data enthusiast with a knack for building scalable and reliable systems? TubeScience, one of the world’s largest performance video agencies, is on the hunt for a founding Senior Software Data Engineer to join our team! In this role, you’ll play a key part in developing and maintaining robust data ingestion pipelines, and building an efficient and reliable company data infrastructure. You'll work on projects that bring ad performance data to life, integrating custom logic into cutting-edge tools and optimizing the pipeline architecture for steady, long-term success.

What you’ll do:

• Build & Maintain Ingestion Pipelines: Design and implement highly maintainable and scalable data pipelines, primarily focused on ingesting ad performance data from multiple sources.
• API Interactions: Set up and manage API interactions with various data sources to facilitate smooth, efficient, and reliable data pulls.
• Infrastructure Setup: Establish the infrastructure necessary for automated, scheduled data pulls, including observability tools and custom settings for complex ingestion tasks.
• Custom Logic Integration: Integrate custom ingestion logic into robust systems such as Airbyte, Dagster, Temporal, etc., to ensure seamless data flows.
• Pipeline Architecture Improvements: Regularly review our current data ingestion pipeline architecture, identifying areas for improvement and proposing optimization solutions that elevate our performance and scalability.
• Collaborate & Lead: Work closely with cross-functional teams to understand data needs, and mentor junior engineers in building robust data pipelines.

What we’re looking for:

• Proven Experience in data engineering with a focus on building, scaling, and maintaining data pipelines and architecture.
• Proficiency in Python: Building robust ingestion systems, handling API calls, and creating custom logic for data management.
• Advanced SQL Knowledge: Experience with complex queries, optimization, and managing large datasets.
• Strong understanding of data ingestion/integration tools such as Airbyte, Dagster, Temporal or similar.
• Excellent Problem Solving & Architecture Skills: Ability to analyze and optimize ingestion pipelines for better performance, scalability, and observability.
• ETL Expertise: Strong experience designing and implementing ETL (Extract, Transform, Load) processes to efficiently move, clean, and process data from source systems to data warehouses or data lakes.
• Solid Communication Skills: Full English proficiency, comfortable collaborating with cross-functional, distributed teams and guiding junior engineers.

Nice to Have:

• Familiarity with cloud platforms like AWS, GCP, or Azure.
• Knowledge of ETL frameworks, CI/CD pipelines, and data monitoring tools.

Why TubeScience?

• Impact: This is our founding (first) Senior Data Engineer, who will get the chance to drive and lead product, process, and team growth. You’ll be at the forefront of improving our data infrastructure, directly influencing how we collect, manage, and utilize ad performance data.
• Growth: Opportunity to work and implement cutting-edge tools and technologies in a rapidly growing and evolving team and data landscape.
• Culture: Work in a dynamic, collaborative and supportive environment where your ideas and growth are valued, encouraged, and expected.

We’re all about impact, innovation, and results. Here, you’ll work in a collaborative environment where your ideas are valued, your data skills shine, and your drive makes waves in the digital advertising world.

Ready to join the team? Let’s build something incredible together.

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