Big Data Engineer

| Greater Denver Area
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Company Description

CapTech is a national IT management consulting firm that bridges the gap between business and technology. We partner with some of the world's most successful companies to design, develop, and manage technical and digital solutions that delight customers, drive insights, and meet strategic objectives.

At CapTech, you’ll experience a flat organizational structure based upon a culture of mutual respect. Here, your career path isn’t set in stone, and you have unlimited potential for growth and the resources to help you achieve your career goals. If you are creative, technically insightful, driven–and have a passion for the work that we do, then you might be a future CapTecher.  

For over five years, we have been in the Top 10 of Consulting Magazine’s Best Firms to Work For, including #2 for IT Firms and #5 for Work/Life Balance. We are also recognized by Vault.com’s Top 50 Consulting Firms and have been on the Inc. 5000 list of fastest growing companies for over 10 years.

Job Description

The Big Data Engineer role falls into the Data & Analytics practice area at CapTech, through which our consultants provide a broad spectrum of services to help our clients define and implement a strategy to deliver lasting and mission-critical analytic capabilities.  Our Big Data Engineers are data pipeline builders and data wranglers, implementing modern data architectures to deliver data to data analysts and scientists at a large scale.  By partnering with clients to fully understand both their business philosophy and IT strategy, CapTech consultants maintain the vision that data pipelines should be built to help the organization make better decisions by providing the right data at the right time.    

Specific responsibilities for the Big Data Engineer position include: 

  • Design, develop, and implement advanced data pipelines that bring together data from disparate sources, making it available to data scientists, analysts, and other users using a variety of programming languages (Java, Scala, Python, etc).
  • Facilitate cross-functional data-integration efforts upstream and downstream
  • Detect data quality issues, identify their root causes, implement fixes, and design data audits to capture issues
  • Extract data from multiple sources, and integrate them into a target database, application, or file using efficient programming processes at scale
  • Build pipelines on-premises, in the cloud, or in a hybrid architecture as needed for each client
  • Optimize and improve existing data pipelines by discovering and improving bottlenecks within the system as well as bringing in new data sources into data lakes and other datastores.
  •  Migrate from traditional ETL to cloud-based or on-premises Big Data solutions using a variety of toolsets
  • Implement and deploy solutions in a CI/CD pipeline
  • Present programming documentation and design to team members and convey complex information in a clear and concise manner.
  • Communicate with all levels of stakeholders as appropriate, including executives, data modelers, application developers, business users, and customers
  • Participate in requirements gathering sessions with business and technical staff to distill technical requirements from business requests.
  • Partner with clients to fully understand business philosophy and IT Strategy; recommend process improvements to increase efficiency and reliability.
  • Collaborate with Quality Assurance resources to debug code and ensure the timely delivery of products.
  • Some of our technologies might include: Hadoop Ecosystem, HBase, Hive, Spark, Kafka, HDInsight, EMR, Elasticsearch, and Kinesis as well as various datastores such as Cassandra, MongoDB, Redis, Snowflake, Redshift, HDFS, S3, Aurora, Azure Storage, and Azure Data Warehouse

Qualifications

Specific qualifications for the Big Data Engineer position include:

  • Bachelor's degree in Computer Science, Software Engineering, MIS or equivalent combination of education and experience
  • Development experience building data pipelines at scale
  • Strong analytical skills working with structured, semi-structured, and unstructured datasets
  • Minimum of 3 years experience designing, developing, and testing software aligned with defined requirements
  • Experience with Apache Hive, Impala, and other technologies for querying distributed file systems
  • Development experience with at least two different programming languages (Scala, Python, Java, C, etc.)
  • Development experience with Unix tools and shell scripts
  • Experiencing with modeling of relational as well as NoSQL datastores
  • Experience with MapReduce and Apache Spark
  • Familiarity with streaming, pub-sub, and message queueing systems
  • Software engineering best-practices, including but not limited to version control (Git, TFS, Subversion, etc.), CI/CD (Jenkins, Maven, Gradle, Ant, Artifcatory, etc.), and unit testing
  • Experience with Cloud-based technologies preferred
  • Exposure to ETL, visualization, and analytic toolsets preferred
  • Experience with Cloudera, Hortonworks, MapR, or other Hadoop distribution preferred
  • AWS Big Data Specialty Cert, Cloudera CCA/CCP certification, or equivalent certification preferred

Additional Information

We offer challenging and impactful jobs with professional career paths. All CapTechers can keep their hands on technology no matter what position they hold. Our employees find their work exciting and rewarding in a culture filled with opportunities to have fun along the way.

At CapTech we offer a competitive and comprehensive benefits package including, but not limited to:

  • Competitive salary with performance based bonus opportunities
  • Single and Family Health Insurance plans, including Dental coverage
  • Short-Term and Long-Term disability
  • Matching 401(k)
  • Competitive Paid Time Off
  • Training and Certification opportunities eligible for expense reimbursement
  • Team building and social activities
  • Mentor program to help you develop your career

At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Candidates must be eligible to work in the U.S. for any employer directly (we are not open to contract or “corp to corp” agreements). 


CapTech is an equal opportunity employer. 

CapTech is a Drug-Free work place.

Candidates must have the ability to work at CapTech’s client locations. 

All positions include the possibility of travel.
CapTech has not contracted/does not contract with any outside vendors in its recruitment process. If you are interested in this position, please apply to CapTech directly.

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Location

1444 Wazee Street, Suite 215, Denver, CO 80202

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