Cloud Analytics Engineer: Spark, Python & Big Data

Benz Technology Inc; Fort Meade (MD); On-site; USD 130,000 - 175,000; Full time

Benefits offered by this job

401(k) plan with vesting day one

28 paid days off per year

Tuition reimbursement

Job summary

Benz Technology Inc. is seeking a software and data analytics engineer at Fort Meade, MD, to design and build high-performance analytic solutions for large volumes of data.

The role blends software engineering and data analytics with distributed computing frameworks and modern processing libraries. You will develop cloud-based analytic pipelines, write distributed jobs with Spark/MapReduce, and optimize data processing across SQL and NoSQL systems.

Qualifications

• Experience with Apache Spark or MapReduce for distributed data processing.
• Proficiency with SQL and/or NoSQL databases.
• Hands-on experience with Python data libraries: Pandas, NumPy, and/or SciPy.

Responsibilities

• Design and build high-performance analytic solutions capable of processing large volumes of data at scale.
• Write efficient distributed computing jobs using Spark or MapReduce.
• Query and manage data across SQL and NoSQL databases.
• Implement data transformation and analysis workflows using Python libraries.
• Collaborate with team members to design scalable analytics architectures.

Skills

Distributed data analytics

Tools

Apache Spark

MapReduce

SQL

NoSQL

Pandas

NumPy

SciPy

Job description

Benz Technology Inc. is seeking a software and data analytics engineer at Fort Meade, MD, to design and build high-performance analytic solutions for large volumes of data.

The role blends software engineering and data analytics with distributed computing frameworks and modern processing libraries. You will develop cloud-based analytic pipelines, write distributed jobs with Spark/MapReduce, and optimize data processing across SQL and NoSQL systems.