Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Reads like a Data Engineer role: pipelines and data infrastructure.
Washington, DC, United States
Open 4 months, first seen by us 124 days agoGreen Card and US citizens only
Design and implement large-scale data architecture for batch, streaming and interactive use
Develop processes to fuse new data streams and integrate new metrics
Build tools that help data consumers find insights
Perform cost-benefit analysis when choosing technology alternatives
design and implement large scale data architecture to support evolving analysis in a variety of aviation domains
developing processes to rapidly fuse new data streams, integrate new metrics
develop tools to facilitate data driven insights
performing cost benefit analysis when choosing and assessing technology alternatives
hands on experience with hadoop and map/reduce
languages - java, python, clojure, scala
databases - HBase, Accumulo, Mongo, Cassandra, Neo4j, Impala
cloud - aws s3, ec2, elastic map/reduce
familiar with open source tools and development and comfortable working in Linux environment
Open 4 monthsWe first saw this posting 124 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 124
Up longer than most. Similar jobs usually come down between day 6 and day 54.
From 10,764 similar postings that came down. Coming down is not always a hire.
10 open jobs
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Required Skills: Expertise applying some subset of the following technologies: • languages - java, python, clojure, scala • hands on experience with hadoop and map/reduce • data serialization - protocol buffers, avro, thrift, trevni, hdf5, netcdf • workflow - pig, oozie, cascading, cascalog, crunch, sqoop • databases - HBase, Accumulo, Mongo, Cassandra, Neo4j, Impala • business integration/analytics - splunk, platfora, pentaho, tableau, informatica, spotfire • familiar with open source tools and development and comfortable working in Linux environment • cloud - aws s3, ec2, elastic map/reduce • data modeling • develop processes for automated data capture, processing, transformation and fusion • design and implement data architecture to support interactive, real time and batch processing • ensure data consistency, discoverability, and quality
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Participate in a team to design and implement large scale data architecture to support evolving analysis in a variety of aviation domains. This architecture will support large scale batch processing, streaming data capture with applications to real time analytics, and back-ends to support executive views and interactive queries. Responsibilities include developing processes to rapidly fuse new data streams, integrate new metrics, and facilitate discovery of novel insights. In addition, the person fulfilling this role must understand the needs and objectives of the data consumers and develop tools to facilitate data driven insights. The successful applicant will also be responsible for performing cost benefit analysis when choosing and assessing technology alternatives and must keep abreast of developments in the open source and commercial data analytics communities.
Required Skills: Expertise applying some subset of the following technologies:
• languages - java, python, clojure, scala
• hands on experience with hadoop and map/reduce
• data serialization - protocol buffers, avro, thrift, trevni, hdf5, netcdf
• workflow - pig, oozie, cascading, cascalog, crunch, sqoop
• databases - HBase, Accumulo, Mongo, Cassandra, Neo4j, Impala
• business integration/analytics - splunk, platfora, pentaho, tableau, informatica, spotfire
• familiar with open source tools and development and comfortable working in Linux environment
• cloud - aws s3, ec2, elastic map/reduce
• data modeling
• develop processes for automated data capture, processing, transformation and fusion
• design and implement data architecture to support interactive, real time and batch processing
• ensure data consistency, discoverability, and quality
please email word copy of resume to
ensure it has your contact information, and phone number to reach you.
dev@mapjects.com or jobs@mapjects.com
Mapjects is a leading centralized logistics operations portal platform. The platform servers franchises with ERP components that suite the franchise business needs. Mapjects Clearview platform provide one-click distribution, logistics and analysis products to enrich and visualize big data sets from warehousing, fulfillment, fraud detection, payment technology and b2b eCommerce.
Email WORD resume and contact to dev@mapjects.com or jobs@mapjects.com
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Washington, DC, United States
Working pattern and location restrictions need checking in the full posting.
Email WORD resume and contact to dev@mapjects.com or jobs@mapjects.com - Green Card and US citizens only - Compensation is very competitive, and commensurate with experience, loc DC or VA