Data Engineer
Company: Robert Half
Location: New Braunfels
Posted on: January 28, 2026
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Job Description:
Job Description Job Description Key Responsibilities: · Design,
develop, and maintain scalable backend systems to support data
warehousing and data lake initiatives. · Build and optimize ETL/ELT
processes to extract, transform, and load data from various sources
into centralized data repositories. · Develop and implement
integration solutions for seamless data exchange between systems,
applications, and platforms. · Collaborate with data architects,
analysts, and other stakeholders to define and implement data
models, schemas, and storage solutions. · Ensure data quality,
consistency, and security by implementing best practices and
monitoring frameworks. · Monitor and troubleshoot data pipelines
and systems to ensure high availability and performance. · Stay
up-to-date with emerging technologies and trends in data
engineering and integration to recommend improvements and
innovations. · Document technical designs, processes, and standards
for the team and stakeholders. Qualifications: · Bachelor’s degree
in Computer Science, Engineering, or a related field; equivalent
experience considered. · Proven experience as a Data Engineer with
5 or more years of experience; or in a similar backend development
role. · Strong proficiency in programming languages such as Python,
Java, or Scala. · Hands-on experience with ETL/ELT tools and
frameworks (e.g., Apache Airflow, Talend, Informatica, etc.). ·
Extensive knowledge of relational and non-relational databases
(e.g., SQL, NoSQL, PostgreSQL, MongoDB). · Expertise in building
and managing enterprise data warehouses (e.g., Snowflake, Amazon
Redshift, Google BigQuery) and data lakes (e.g., AWS S3, Azure Data
Lake). · Familiarity with cloud platforms (AWS, Azure, Google
Cloud) and their data services. · Experience with API integrations
and data exchange protocols (e.g., REST, SOAP, JSON, XML). · Solid
understanding of data governance, security, and compliance
standards. · Strong analytical and problem-solving skills with
attention to detail. · Excellent communication and collaboration
abilities. Preferred Qualifications: · Certifications in cloud
platforms (AWS Certified Data Analytics, Azure Data Engineer, etc.)
· Experience with big data technologies (e.g., Apache Hadoop,
Spark, Kafka). · Knowledge of data visualization tools (e.g.,
Tableau, Power BI) for supporting downstream analytics. ·
Familiarity with DevOps practices and tools (e.g., Docker,
Kubernetes, Jenkins).Apache Spark, Python, Apache Hadoop, Apache
Kafka, ETL - Extract Transform Load, Azure Data Factory, Azure Data
Lake, Azure Databricks, Google Cloud Platform, Amazon Web Services
(AWS), DevOps, Big Data, Data Warehousing
Keywords: Robert Half, San Marcos , Data Engineer, IT / Software / Systems , New Braunfels, Texas
