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Locals or Nearby Urgent Need Hadoop Data Engineer

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

At a glance

Mid-level Data Engineering role at USM. Reston · contract.

Pay not stated Data Engineer salary

RoleData Engineering
SeniorityMid-level
LocationReston
WorkplaceOn-site
EmploymentContract
PostedNov 30, 2016 · 9y ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Guide Big Data implementation teams from early planning through delivery, using established practices
  • Help define the data hub's architecture, then build systems that can be maintained over time
  • Write code, scripts and pipelines that bring structured and unstructured data together from multiple sources
  • Build reusable components for data preparation, transformation, export and synchronization
  • Check feasibility, interoperability and performance, and coordinate delivery with infrastructure, security, development and test teams

What you bring

  • At least four years using Hadoop batch tools and four years working with stream-processing technologies
  • You have developed applications on NoSQL stores and supported terabyte-scale data or ingest rates of at least 10 Gbps
  • At least four years designing enterprise IT solutions in an architect role
  • A related bachelor's degree and six or more years in software development or data warehousing and business intelligence

Who this fits

This contract role suits someone who lives in or near Reston, Virginia. You'll provide technical guidance across teams and coordinate planning and risk escalation with the project manager.

From the employer

GC and Citizens

Hi Friends,

Hope you are doing great,

I have an urgent requirement from one of my esteem client, I will appreciate if you can have an eye on the below requirement and send me your consultant updated profile ASAP.

Job Title: Data Engineer

Location: Reston, VA (Local or Nearby)

Duration: 4+ months

Requirements:

• Lead implementation teams from concept to completion by leveraging the best practices of Big Data

• Participate in the analysis, architecture and design of data hub

• Builds robust Big Data solution systems with an eye on the long term maintenance and support of the Application

• Work as part of a team to design and develop code, scripts, and data pipelines that leverage structured and unstructured data integrated from multiple sources

• Looks to leverage reusable code modules to solve problems across the team, including Data Preparation and Transformation and Data export and synchronization

• Design and develop automated test cases that verify solution feasibility and interoperability, to include performance assessments

• Act as a Big Data delivery liaison with Infrastructure, security, application development and testing team.

• Helps drive cross team design / development via technical leadership / mentoring

• Keep current on latest Big Data technologies and products, including hands-on evaluations and in-depth research

• Consult and advise solution architects on overall enterprise-wide analytics solutions that include a Data Hub Component

• Works with Project Manager to perform detailed planning, risks/issues escalation.

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

• 5+ years of Java experience

• 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:

All your information will be kept confidential according to EEO guidelines. please send the profiles to alih(at)usmsystems.com and contact No# 703-955-3955

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.