Rackspace Big Data Delivery Engineer (REMOTE) in Remote, United States

Overview & Responsibilities

Rackspace is seeking a Big Data Delivery Engineer to join our Professional Services team full time in San Antonio or REMOTE Work from Home for exceptional candidates.

What You’ll Do:

  • Apply Big Data product and technical knowledge during professional services engagements leading customers through big data transformation across multiple private and public cloud platforms.

  • Operate as a lead delivery engineer as part of a professional services delivery team working closely with project managers and client’s technical personnel.

  • Demonstrate strong competency across modern data technologies and cloud platforms to design, implement, troubleshoot and optimize advanced solutions.

  • Participate in projects including: Open source technologies; Hadoop, Spark, Kafka, HBase, Hive, Cassandra, MongoDB, Neo4J. Experience in both batch and stream processing technologies.

  • Cloud data and analytic technologies; AWS: EMR, Athena, Redshift, Kinesis, Glue. Azure: HDInsight, ADLS, Data Lake Analytics, Event Hubs, SQL Data Warehouse. GCP: BigQuery, BigTable, Dataflow, DataProc.

Job Complexity:

  • Serve as a subject matter expert for Big Data products or technologies to implement solutions as defined by statements of work.

  • Understand complex IT and business customer challenges as it pertains to the data domain and apply technology and product portfolio knowledge to solve problems in a consultative manner.

  • Aligns and regularly communicates with Project Manager and extended teams during project delivery to ensure timely delivery and awareness of potential problems or risk requiring resolution or mitigation.

  • Proactively identify potential issues and work through resolution with internal and external stakeholders.

  • Troubleshoot issues, perform root cause analysis and performance tuning. Monitor, log and test customer configurations for performance and stability.

  • Perpetually seek to improve and refine the Rackspace Professional Services methodology, deliverables, sales collateral, and team roles and alignment.

  • Build and maintain a network of cross-functional technical resources within Rackspace and across any relative partnerships to allow for higher productivity, increased business, and rapid resolution of problems and escalations.

  • Serve as a lead to other engineers. Develop and implement best practices for team processes.

  • Occasional domestic travel, up to 50%.

Qualifications

Required Qualifications:

  • High school diploma or equivalent required. Associate’s degree in technical field preferred.

  • 7 - 9 years of relevant technical experience required, including a minimum of 4 years of engineering experience related to Big Data.

  • Exposure to a range of IT environments, industry sectors & technology stacks.

  • At least one top tier technical certifications in a highly desired technology domain.

  • Managed services, consulting, technical support, and/or application development experience preferred.

Preferred experience with the following Open Source technologies:

  • Hadoop, Spark, Kafka, HBase, Hive

  • Cassandra, MongoDB, Neo4j

  • Experience in both batch and stream processing technologies

Preferred experience with the following Cloud Data and Analytics technologies:

  • AWS – EMR, Athena, Redshift, Kinesis, Glue

  • Azure – HDInsight, ADLS, Data Lake Analytics, Event Hubs, SQL Data Warehouse

  • GCP – BigQuery, BigTable, Dataflow, DataProc

Preferred experience with:

  • Machine Learning experience with either Spark Mllib or similar

  • Experience operationalizing models with Tensorflow

Req # 39741

Category System Administration / Engineering