Senior Data Engineer

Pattern values data and the engineering required to take full advantage of it. As a Data Engineer at Pattern, you will be working on business problems that have a huge impact on how the company maintains its competitive edge.

Essential Duties And Responsibilities

Develop, deploy, and support real-time, automated, scalable data streams from a variety of sources into the data lake or data warehouse

Develop and implement data auditing strategies and processes to ensure data quality; identify and resolve problems associated with large-scale data processing workflows; implement technical solutions to maintain data pipeline processes and troubleshoot failure

Collaborate with technology teams and partners to specify data requirements and provide access to data

Tune application and query performance using profiling tools and SQL or other relevant query languages

Understand business, operations, and analytics requirements for data

Work with data infrastructure to triage issues and drive to resolution

Required Qualifications
Bachelor’s Degree in Data Science, Data Analytics, Information Management, Computer Science, Information Technology, related field, or equivalent professional experience

2+ years of experience working with data warehouses such as Redshift, BigQuery, or Snowflake and understand data architecture design

Strong communication skills (both in presentation and comprehension) along with the aptitude for thought leadership in data management and analytics.

Expertise with data systems working with massive data sets from various data sources

Preferred Qualifications

Experience working with time series databases

Advanced knowledge of SQL, including the ability to write stored procedures, triggers, analytic/windowing functions, and tuning

Advanced knowledge of Snowflake, including the ability to write and orchestrate streams and tasks

Background in Big Data, non-relational databases, Machine Learning and Data Mining

Experience with cloud-based technologies including SNS, SQS, SES, S3, Lambda, and Glue

Experience with modern data platforms like Redshift, Cassandra, DynamoDB, Apache Airflow, Spark, or ElasticSearch

Expertise in Data Quality and Data Governance

Our Core Values

Pattern is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.