OA - Join Our Team - Lead Data Engineer

Join Our
‍Team

Interested in working with us?

What We're About

‍At its core, OverlayAnalytics is about pulling on threads and—without knowing where they lead—figuring out how to connect them. Our customers come to us with a core belief that their data holds the answers to uncovering value in their business.

Our team is responsible for turning that belief into reality. If you believe in the transformational power of data and technology and in your own ability to bring that power to bear against complex problems, we want to meet you.

What We Do

‍OverlayAnalytics provides a strategic analytics platform that gives our clients a format-agnostic, streaming data pipeline that drives real-time data processing, transformation, analytics and actionable business intelligence.

We are at an inflection point and our rapid growth is forcing us to balance client growth along with the demands of scaling our future infrastructure. You will be an integral part in helping us meet that demand while helping build out the future of OverlayAnalytics.

Lead Data Engineer

Remote/Dallas, TX/Austin, TX

What You'll Do

Work at all levels of the stack. – infrastructure (AWS, ECS, EKS, Lambda, Kinesis), database (Postgres, Snowflake), services (dbt, Cube.js)
Architect robust reusable systems that are not only performant and scalable but thoughtfully crafted
Contribute to the core design of data architecture, data models and schemas, and implementation plan.
Design, build and maintain optimal data pipeline architecture for optimal extraction, transformation, and loading of data from a wide variety of data sources, including external APIs, data streams, and data stores.
Design, create and maintain the infrastructure for ingesting data into our data lake and data warehouse and providing frameworks and services for operating on that data.
Design, create and maintain the infrastructure for real-time streaming analytics, big data analytics, and machine learning analytics capabilities.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Work with security to implement data privacy and data security requirements to ensure solutions stay compliant to security standards and frameworks.

Key Qualifications

6+ Years of experience with python and micro-services architecture.
Expertise with relational and non-relational data modeling.
Proficient with message queuing and stream processing.
Experience integrating 3rd Party APIs and authentication services.
Deep knowledge and hands-on experience in areas such as data structures, database table design, algorithm design, runtime complexity, system architecture (scalable, reliable, redundant design), API design, security and privacy best practices, at-scale monitoring, logging & alerting and testing best practices.
Demonstrated success in owning projects end-to-end, including working with technical and non-technical stakeholders and making decisions with minimal supervision.
Ability to collaborate and empathize with a variety of individuals. Experience iterating with users and non-technical stakeholders with a strong understanding of how technical decisions impact them.

Preferred Qualifications

Strong knowledge of AWS including managed AWS services
Experience with build tools like Jenkins, Terraform and Cloud Formation
Experience at an early-stage startup
Experience working on a financial application
Prior experience scaling data pipelines to handle 10’s of billions of records daily.

Apply for this position and join our team by submitting the form. Include a resume.

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Are you ready to explore the impossible?

Don’t Trust Us. With all of the noise out there surrounding Big Data, we appreciate this seems improbable and so we’re asking you not to trust us, but try us.

Because at OverlayAnalytics, it’s our belief that seeing is believing.

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