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Big Data Engineer ---------Need GC and USC---------Need Locals

USM Open · verified Oct 24, 2026
On-site Reston Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at USM. Reston · no salary stated · we estimate $130,521–$145,808.

Estimated pay

USM has not published a salary for this role. The figure below is our estimate, not theirs.

$130,521 – $145,808
What the middle half of mid-level data engineering roles in Reston paid, among postings that did state a salary.
Worked out from 5 postings that stated pay, median $140,000. Last updated Oct 20, 2026.
RoleData Engineering
SeniorityMid-level
LocationReston
WorkplaceOn-site
PostedSep 13, 2016 · 10y ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Lead delivery of a big data solution and build a prototype for healthcare analytics
  • Coordinate with business stakeholders, managers, architects, developers, infrastructure teams and administrators
  • Develop and tune data systems for large-scale storage, ingestion and processing
  • Apply batch and stream-processing tools, NoSQL stores and SQL databases to data workloads

What you bring

  • At least four years working with Hadoop batch-processing tools and four years with stream-processing technologies
  • A computer science, information systems, information technology or related degree, plus six years in software development or data warehousing and BI
  • Eight years using SQL and at least two major relational databases, plus five years integrating Linux systems and writing shell scripts
  • Eight years benchmarking, analyzing and tuning data systems, with enterprise solution architecture delivery experience

Who this fits

This senior role suits an experienced engineer who has led big data solution delivery and can work across technical and business groups. You must live locally in the Reston area and be a U.S. citizen or hold a green card. The role is onsite in Reston, Virginia, for an initial term of three months or longer.

From the employer

USM Business Systems Inc. is a quickly developing worldwide System Integrator, Software and Product Development, IT Outsourcing and Technology assistance supplier headquartered in Chantilly, VA with off-shore delivery centers in India. We offer world-class ability in giving most astounding quality and administrations through industry best practices planned to convey remarkable worth to our customers.

Utilizing our industry knowledge, administration service offering expertise and innovation abilities, we distinguish new business and innovation slants and create answers for help customers around the globe, giving top of the line solid and practical IT benefits which are cost effective services.

Established in 1999, the organization has corner qualities in building and dealing with a Business Oriented IT environment with rich involvement in technology innovation, ERP and CRM counselling, Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and administrations in ERP, CRM, Enterprise architecture, offshore advisory services ,e-commerce, Social , Mobile, Cloud, Analytics (SMAC) and DevOps.

USM, a US ensured Minority Business Enterprise (MBE) is perceived as one of the fastest developing IT Systems Integrator in the Washington, DC zone. Most as of late, USM was positioned #9 on the rundown of the Top administrations organizations in the DC Metro Area – Washington Business Journal (2011). We are a project-driven firm that reliably meets the IT needs of our State and Government customers through development and business keenness.

Position Title: Big Data Engineer – Sr. Healthcare Analytics

Location: Reston, VA

Duration: 3 months+

Need GC and USC

Need Locals

Looking for a Big Data Engineer, Healthcare Analytics Senior with proven past experience in leading and delivering the Big Data solutions. The resource needs to work with Business stakeholders, Management, Architects, Developers, infrastructure and administrators to deliver a prototype by end of Dec 2016.

Requirements:

Qualifications

· Requirements for Big Data Engineer, Healthcare Analytics Senior:

· 4+ years of experience working with batch-processing and tools in the Hadoop tech stack (e.g., MapReduce, Yarn, Pig, Hive, HDFS, Oozie)*

· 4+ years of experience working with tools in the stream-processing tech stack (e.g., Spark, Storm, Samza, Kafka, Avro)* Experience developing applications that work with NoSQL stores (e.g., ElasticSearch, Hbase, Cassandra, MongoDB, CouchDB)* Experience developing for TB-level data stores and/or 10Gbps+ ingest speeds

· High-capacity data ingest into Hadoop or Spark is highly desired

· Hands-on experience with at least one major Hadoop Distribution such as Cloudera or Horton Works or MapR or IBM Big Insights

· System usage and optimization tools such as Splunk is a plus

· At least 4 years of experience delivering enterprise IT solutions as a solutions architect

· 8+ years of experience with SQL and at least two major RDBMS's

· 5+ years as a systems integrator with Linux systems and shell scripting

· 8+ years of doing Data related benchmarking, performance analysis and tuning

· Solid programming experience with a preference towards Java or Python

· DBA and/or Data Modeling experience

· Experience with operational and business-level metadata management

· Bachelor's degree in Computer Science, Information Systems, Information Technology or related field and 6+ years of software development/DW & BI experience.

· Health care experience is plus

· Excellent verbal and written communication skills

Love to Have:

· Hands-on experience with Cloudera 4.5 and higher, Horton Works 2.1 and higher or MapR 4.01 and higher

· Experience with Map/Reduce solution design and development

· ETL Solution experience, preferable on Hadoop

· Experience with industry leading Business Intelligence tools

If you are interested please share your resume to preethib@usmsystems(dot)com or can directly call me on 703 468 0398

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.