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Senior Data Engineer (Data Ops)

Company: ActivTrak
Location: Austin
Posted on: November 22, 2021

Job Description:

About ActivTrak:

ActivTrak is a cloud-based platform that provides productivity insights into how teams work, improving employee and customer experience, while also enabling better business outcomes. At ActivTrak, we recognize the powerful link between these two concepts and we're on a mission to understand it more every day. Alongside 9500+ paying customers, our team uses the platform internally to assess team and organizational performance, hone product features, develop best practices, streamline processes, invest in new innovations, and promote a culture of immediate feedback and transparency.

We are a fast-growing, agile company with a forward-thinking, inclusive culture. Our teams are encouraged to collaborate daily to solve challenges, create and champion new ideas, and execute initiatives that help global customers and their modern workforces succeed by working better together.

Requirements

What you will do:

As a senior data engineer working on our Data Science team, you will be responsible for building and managing the systems which provide the mission-critical data for our analytics platform. This entails the characterization of source data systems, designing appropriate schemas and aggregations of this data for consumption, and facilitating the ETL required to translate this data into machine learning systems. You will have a background in building data pipelines for the purpose of collecting, cleansing, and transforming data, for use in the initiatives that bring unique insights to our users. As part of the larger ActivTrak team, you will be working in a close-knit team that is expected to code to scale to hundreds of millions of events per day, leverage our petabyte+ of existing data, and support our 150,000+ users as we disrupt the productivity analytics industry. You will be collaborating with teams across engineering and the business to help provide insights and answers to our customers' most pressing questions.

You are pragmatic. Working in a start-up environment requires that you'll be able to make the right trade-offs to progress projects while balancing constraints and input. We're looking for a candidate that can be pragmatic and can make decisions based on data.

You care deeply about your own productivity. Through understanding your productivity and the productivity of those around you, you gain better insight into our customers' challenges. We're looking for someone who wants to talk openly about their own productivity successes for innovation and performance elevation.

Focus on clear and open communication. Coordinating with so many teams means you'll be responsible for a lot of moving parts. You'll need to be proactive with status updates that have the appropriate level of detail for the audience.

Your experience:
Experience building ETL pipelines for production
Experience with batch and stream data processing
Demonstrably strong SQL
Prior data integration tool experience is a plus
Experience with workflow management tools such as Airflow or Prefect
API design/implementation (e.g. Microservices, REST, etc)
Experience in cloud environments (e.g. Google Cloud Platform, AWS)
Docker/Containers, Kubernetes
Serverless deployment scenarios
Agile development
Knowledge of SDLC and best practices
Experience working with CI/CD systems
Software source control system, such as Git

Benefits

Work environment:
Position is remote within US
Minimal travel
Limited physical demands

This is an incredible opportunity to embark on an exciting journey with a dynamic, VC-backed company. If you have a positive attitude towards urgency, risk, and challenges that comes with working in a startup environment, then you will be a great fit!

ActivTrak is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. ActivTrak does not discriminate in employment on the basis of race, color, religion, sex, national origin, political affiliation, sexual orientation, marital status, disability, age, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.

Keywords: ActivTrak, Austin , Senior Data Engineer (Data Ops), Engineering , Austin, Texas

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