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Robert Half International Big Data Engineer in Houston, Texas


• Create and maintain optimal data pipeline architecture.

• Assemble large, complex data sets that meet functional / non-functional business requirements.

• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using ‘big data’ technologies and tools.

• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

• Keep our data separated and secure across national boundaries through multiple data centers and availability regions.

• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

• Work with data and analytics experts to strive for greater functionality in our data systems.


• 5+ years of experience in a Data Engineer role, with a Graduate degree or related experience in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.

• Experience using the following software/tools:

o Experience with big data tools: Kafka (primary), Dremio (primary), Spark, etc.

o Experience with relational SQL and NoSQL databases, including Postgres, MongoDB, TimescaleDB, etc.

o Experience with data pipeline and workflow management tools: Airflow (primary), Kubeflow (primary), Azkaban, Luigi, etc.

o Experience and competency in AWS services: EC2, S3, EFS, EMR, RDS, etc.

o Familiarity with Azure: ADLS, Databricks, SQL DW, Analysis Services

o Experience with stream-processing systems: Kafka (primary), Spark-Streaming, etc.

o Experience with object-oriented/object function scripting languages: Python (primary), Golang (primary), Javascript, C++, Scala, etc.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

• Experience building and optimizing data pipelines and curated data queries.

• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

• Build processes supporting data transformation, data structures, metadata, dependency and workload management.

• A successful history of manipulating, processing and extracting value from large disconnected datasets.

• Working knowledge of message queuing, stream processing, and data lakes.

Must be eligible to work in US without sponsorship

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Salary: $55.00 - $60.00 / Hourly

Location: Houston, TX

Date Posted: October 10, 2020

Employment Type: Temporary

Job Reference: 04130-9502719930

Staffing Area: Technology u0026 IT