Cloud-Based Analytics Developer

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

Fort Meade, MD TS/SCI with Polygraph Full-Time $130,000 – $175,000 Actively hiringActive TS/SCI clearance required. Benz Technology is unable to sponsor security clearances. U.S. citizenship required.About the RoleYou will design and build high-performance analytic solutions capable of processing large volumes of data at scale. This role sits at the intersection of software engineering and data analytics, working with distributed computing frameworks and modern data processing libraries.ResponsibilitiesDevelop and maintain cloud-based analytic pipelines for high-volume data processingWrite efficient distributed computing jobs using Spark or MapReduceQuery and manage data across SQL and NoSQL databasesImplement data transformation and analysis workflows using Python scientific librariesOptimize data processing performance across large-scale datasetsCollaborate with team members to design scalable analytics architecturesRequired QualificationsExperience with Apache Spark or MapReduce for distributed data processingProficiency with SQL and/or NoSQL databasesHands-on experience with Python data libraries: Pandas, NumPy, and/or SciPyBackground in big data analytics and pipeline developmentDesired QualificationsExperience with cloud-based data platforms (AWS, GCP, or Azure)Familiarity with streaming data architecturesExperience optimizing queries and jobs for large-scale datasetsWhy engineers join Benz15% employer 401(k) — vested day one, no match required28 paid days off per year$7,500 annual tuition reimbursement$2,500 training & development budget28 years in business — our engineers stay through recompetes