Job Description

Data Engineer II

Your Responsibilities

• Designing, building and launching extremely efficient and reliable data pipelines to move data across a number of platforms, including Data Warehouse and real-time systems.
• Developing strong subject matter expertise and managing the SLAs for those data pipelines.
• Setting up and improving BI tooling and platforms to help the team create dynamic tools and reporting.
• Assessing options and opportunities in order to provide recommendations to business partners and stakeholders.
• Partnering with Data Scientists and business partners, like analytics teams and system administrators, to develop internal data products to improve operational efficiencies organizationally.

Here are some examples of our work:

•  Data Pipelines - Create new pipelines or rewrite existing pipelines using SQL, Python or Spark
•  Data Quality and Anomaly Detection - Improve existing tools to detect anomalies real time and through offline metrics
•  Data Modeling - Partner with analytic consumers to improve existing datasets and build new ones

What We're Looking For

• 3 to 6 years of experience in a Data Engineering role, with a focus on data warehouse technologies, data pipelines and BI tooling.
• Bachelor or advanced degree in Computer Science, Mathematics, Statistics, Engineering, or related technical discipline.
• Expert knowledge of SQL and of relational database systems and concepts.
• Strong knowledge of data architectures and data modeling and data infrastructure ecosystems.
• Experience with enterprise business systems such as Salesforce, Marketo, Zendesk, Gainsight, etc.
• Experience with ETL pipeline tools like Airflow, and with code version control systems like Git.
• The ability to communicate cross-functionally, derive requirements and architect shared datasets; the ability to synthesize, simplify and explain complex problems to different types of audiences, including executives.
• The ability to thrive in a dynamic environment. That means being flexible and willing to jump in and do whatever it takes to be successful.

What Gives You An Edge

• Experience with Apache Kafka
• Experience with GTM & Sales systems (ex: Salesforce, Zendesk, etc.)
• Knowledge of batch and streaming data architectures
• Product mindset to understand business needs, and come up with scalable engineering solutions