We are seeking a Data Engineer for a 6 month contract-to-hire role in Littleton, CO. This 6 month contract-to- hire will be located onsite in Littleton, CO. This role will be in the office Monday-Friday during normal business hours (no remote/telecommuting options available- all work is to be performed onsite).
Primary responsibilities are as follows:
- Acquire big data input from numerous partners. Key technologies may include Python, Elastic Logstash, and Kafka.
- Normalize complicated data sources to convert potentially unusable data into a format that can be efficiently used by software and/or employees. Key technologies may include Spark, Lambda, Beam, and Flink.
- Aggregate data from multiple sources into a single location and format where correlation is possible. Key technologies may include SQL Server, MYSQL, Postgres, Cassandra, Impala, Kudu, and Athena.
- Validate large amounts of data to ensure data quality in a variety of different ways depending on the data and its consumer. Key technologies may include Python and Excel.
- Garner key insights from data and communicate these findings to key stakeholders to help them make data-driven decisions. Key technologies may include Tableau, Grafana, Kibana, and R.
- Provide analyses on data sets to identify trends, issues, and opportunities.
- Work with partners on efficient data processes while helping them keep their data as clean as possible.
- Create efficiencies and reduce resource allocation for routine tasks and procedures related to partner data management.
- Learn industry standards and best practices surrounding data analysis in order to continuously improve our team and systems by implementing them.
- Create data that is valuable for the organization, either operationally to help drive decisions or financially to gain revenue. Key technologies may include Google Analytics and Qualtrics
- Bachelor’s degree in Computer Science, Computer Engineering, Applied Math, Statistics, or a related technical degree.
- At least two years of experience (5+ years of experience for Senior) using ETL (Extract, Transform, and Load) concepts and techniques on messy data sets and large databases.
- At least two years of experience using one or more of the following (5+ years of experience for Senior): Java, C++, Python, Go, R, or JavaScript in a Unix/Linux environment
- At least two years of experience using Tableau.
- At least two years of experience with SQL-like query language and table design.
- Strong communication skills to work with partners internal and external to manage data flow into our infrastructure.
- Ability to read, analyze, and interpret common metrics used to measure and monitor operational performance, define problems, collect data, establish facts, draw valid conclusions, and provide clear and concise communication with a wide audience of internal departments.
- Growth mindset: Proven ability to quickly learn new concepts, processes, software, and development ideas.
The following additional qualifications are a plus:
- Proven ability to implement data-driven solutions in a production environment using tools such as Hadoop, Impala, Hive, NiFi, Athena, Redshift, ElasticSearch, BigTable, or Airflow.
- Experience using Cloud Native tools such as Kubernetes and Docker in private, public, and hybrid clouds.
- Experience applying machine learning and statistical modeling using common data science techniques such as clustering, regression – logistical and linear, confidence intervals, and pattern recognition.
This 6 month contract-to- hire will be located onsite in Littleton, CO. This role will be in the office Monday-Friday during normal business hours (no remote/telecommuting options available- all work is to be performed onsite).
