Data Engineer (Bentonville, AR)

Insight Global; Bentonville (AR); On-site; USD 120,000 - 180,000; Full time

Job summary

Insight Global is seeking a Data Engineer to design, build, and optimize large-scale batch data pipelines in a cloud environment. The role emphasizes reliability, performance, and data quality to support analytics and downstream consumers through well-engineered big-data solutions.

The ideal candidate has strong experience with Apache Spark, Hadoop and Hive, Python or Scala, and GCP services like BigQuery, GCS, Dataproc, and Pub/Sub.

Qualifications

• Experience with Spark, Hadoop, and Hive in large-scale data pipelines.
• Strong programming in Python or Scala for data processing.
• Hands-on with GCP services (BigQuery, GCS, Dataproc, Pub/Sub).
• Proficient in writing/optimizing SQL for analytics workloads.

Responsibilities

• Design, develop, and maintain batch data pipelines in a cloud environment.
• Optimize performance, reliability, and SLA adherence of pipelines.
• Collaborate with analytics, data science, and downstream consumers.
• Implement data quality checks, monitoring, retries, and alerting.
• Follow software engineering best practices (version control, testing, docs).

Skills

Apache Spark

Hadoop

Hive

Python

Scala

BigQuery

GCS

Dataproc

Pub/Sub

SQL

Data modeling

Tools

Airflow

Cloud Composer

Kafka

Job description

Job Description

We are seeking a skilled Data Engineer to design, build, and optimize large‑scale batch data pipelines in a cloud environment. This role focuses on reliability, performance, and data quality, supporting analytics and downstream consumers through well‑engineered big‑data solutions. The ideal candidate has strong experience with Apache Spark, cloud data platforms (GCP preferred), and writing performant SQL at scale.

Key Responsibilities

Design, develop, and maintain batch data pipelines using Apache Spark, Hadoop, Hive, or similar frameworks in a cloud environment.Build highly optimized, fault‑tolerant, and SLA‑driven data pipelines that operate reliably at scale.Leverage Google Cloud Platform (GCP) services such as BigQuery, GCS, Dataproc, and Pub/Sub to support data ingestion, processing, and storage.Write and optimize SQL queries (BigQuery SQL and/or Spark SQL) for data analysis, profiling, and performance tuning.Collaborate closely with analytics, data science, and downstream consumers to ensure data availability, correctness, and usability.Monitor and troubleshoot pipeline failures; implement alerting, retries, and data quality checks.Improve pipeline performance through partitioning, clustering, resource tuning, and query optimization.Follow software engineering best practices, including version control, testing, and documentation.

Skills and Requirements

Strong experience with big data technologies such as Apache Spark, Hadoop, and Hive.Hands‑on experience building batch data pipelines with a focus on performance, scalability, SLA adherence, and fault tolerance.Strong programming skills in Python and/or Scala, with deep experience using Spark for data processing and analytics.Experience working with GCP services including BigQuery, Google Cloud Storage (GCS), Dataproc, and Pub/Sub.Solid experience writing and optimizing SQL, preferably BigQuery SQL and/or Spark SQL.Strong understanding of data modeling, ETL/ELT patterns, and data quality best practices.Experience with Kafka or similar messaging/streaming platforms.Familiarity with workflow orchestration tools (e.g., Airflow or Cloud Composer).Experience deploying and operating data pipelines in production cloud environments (GCP preferred, Azure acceptable).Strong troubleshooting skills and ability to optimize pipelines under real‑world constraints.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].