Director, Data Engineering
Denver, CO, United States
Applications have closed
Blend360
Blend360 co-creates value with leading companies through the integration of data, advanced analytics, technology & people. Get in touch with us today.Company Description
BLEND360 is adding to our team of passionate people who are revolutionizing the world of Data Science. We are an award-winning, new breed Data Science\Data Engineering\BI Solutions Company focused on powering exceptional results to our Fortune 500 clients. We are a growing company – born at the intersection of advanced analytics, data and technology.
Our new Director of Data Engineering will be in the forefront of driving major projects within BLEND360 and working with our data engineering team to develop innovative data driven solutions that integrate distributed sources of data, perform large scale learning and reasoning, and integrate results.
Job Description
As a Director of Data Engineering you will help spearhead the data engineering division and elevate the team to the next level! You will be a Leader for our more junior resources by mentoring them and helping them to grow their careers at Blend360.
Responsibilities of Blend360 Data Engineers
- Analyze and organize raw data
- Build data systems, pipelines, analytical tools and programs
- Evaluate business needs and objectives
- Conduct complex data analysis and report on results
- Prepare data for modeling
- Interpret trends and patterns
- Combine raw information from different sources
- Explore ways to enhance data quality and reliability
- Collaborate with data scientists and business analysts
Qualifications
- 5+ Years of Experience as a Data Engineer or similar role
- Degree in Computer Science, Data Science, Mathematics, IT, or similar field
- Technical expertise with data models, data mining, and segmentation techniques
- Deep understanding, both conceptually and in practice of at least one object orientated library (Python, Scala)
- Strong SQL skills and a good understanding of existing SQL warehouses and relational databases.
- Strong Spark, PySpark, Spark SQL skills and good understanding of distributed processing frameworks.
- Build large-scale batch and real-time data pipelines.
- Ability to work independently and mentor junior resources.
- Desire to lead and develop a team of Data Engineers across multiple levels
- Nice to have: Cloud experience (AWS, Azure, GCP), Snowflake, Databricks, Hadoop, DBT, Elastic Search, Data modeling, Airflow, CI\CD, Agile Methodologies, Docker\Kubernetes.
- Must have experience executing projects end to end
The starting pay range for this role is $145,000 - $200,000. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs. You may also be eligible to participate in our discretionary annual incentive plan. Awards, if granted, are reflective of individual, division, and company performance.
Additional Information
All your information will be kept confidential according to EEO guidelines.
Tags: Agile Airflow AWS Azure Computer Science Data analysis Databricks Data Mining Data pipelines Data quality Docker Engineering GCP Hadoop Kubernetes Mathematics Pipelines PySpark Python RDBMS Scala Snowflake Spark SQL
Perks/benefits: 401(k) matching Career development Competitive pay Health care Insurance
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