- UpvoteDownvoteShare Job
- Suggest Revision
This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
3+ years experience with Big Data technologies, such asApache Hadoop, Hive or Spark, Databricks and/or Snowflake. The ideal candidate will lead the architecture and implementation of on-premises and cloud big data solutions as part of enterprise data modernization.
$250Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
- Suggest Revision
As a big data engineer at Booz Allen, you’ll use your skills and experience to implement data engineering activities on some of the most mission-driven projects in the industry. We need a data professional like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.
$60,400 - $137,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions-from fraud detection to cancer research to national intelligence.
$75,600 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience with data visualization tools (e.g., Tableau, PowerBI) and big data technologies (Hadoop, Spark). 5+ years of overall experience in the field of data science, with a proven track record in predictive modeling or a similar analytical role.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
- Suggest Revision
As a lead big data engineer at Booz Allen, you'll use your expertise to lead data engineering activities on some of the most mission-driven projects in the industry. We need a big data experienced professional like you to help our clients find answers in their data to impact important missions-from fraud detection to cancer research to national intelligence.
$96,600 - $220,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Experience with DevSecOps, CI/CD, IaC and CaC, IT Infrastructure Library, and IT Service Management.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Utilize Databricks for big data processing and streaming analytics. Experience with big data technologies such as Apache Hadoop, Spark, Kafka, and others. The ideal candidate will have a robust background in big data analytics, data engineering, and cloud computing, with a particular focus on building and optimizing data lakes on AWS. This role is crucial for designing, implementing, and managing advanced data solutions using AWS and Data Lakehouse platforms.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Element 84 is a woman-owned small business that works with public, private, and non-profit sector clients to develop geospatial data processing pipelines & build software that helps answer big questions about our health, our infrastructure, and our changing planet.
Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Big Data Technologies: Distributed Computing: Tools like Apache Spark, Hadoop. Big Data Storage: Technologies such as HDFS, Apache Cassandra, or cloud storage solutions. Software Engineering & DevOps: Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
$150ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Engineer within the AWS cloud data environment using Glue, EMR Serverless, Databricks, Snowflake, or similar technologies. The Data Engineer of Data Services reports directly to the VP, Data Services and is responsible for taking part in the managing, designing, and building of systems required to deliver Mosaic and RxAnte's analytic products in a scalable manner using cloud data warehouse/lake technology.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
About the job Relocate to Malta Data and Analytics Senior Architect (Consulting/Big 4) An understanding of Master Data Management and Data Governance frameworks. Our client is looking for a talented Data Engineer who will assist in designing and implementing Business Intelligence (BI) and large-scale Data Analytics solutions for their customers.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Design, develop, and implement data architecture solutions using SQL Server, Microsoft Azure, Snowflake, and Databricks. The ideal candidate will have extensive experience in designing and implementing data solutions, with proficiency in SQL Server, Microsoft Azure, Snowflake, Databricks, and other relevant technologies.
$200ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Proficient understanding of relational (e.g. Oracle, SQL Server, PostgreSQL) and Big Data distributed structures (Hadoop/Spark) in order to source data effectively. The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects.
ExpandApply NowActive JobUpdated Today
big data jobs Title: data Company: Accenture Contractor Jobs in Washington, DC
FEATURED BLOG POSTS
What Makes a Company a Great Place to Work
After one too many after-hours emails, you’re on the hunt for a new gig. But what makes a company a great place to work? And how will you know when you find one? Finding a motivating, safe, and productive work environment is important for our mental and physical health. If you’re financially frustrated, creatively stuck, or just plain over it, it’s time to find a healthier workplace where you can flourish.
What Makes a Good Boss? The Top 12 Qualities & Attributes
Think back to the best boss you’ve ever had—does someone come to mind? We hope so! Okay, now think back to the worst boss you’ve ever had. I’m sure you can conjure up a few faces.
How to Recruit and Retain Gen Z Employees
As Boomers and the oldest Gen X are exiting the workforce, younger Millennials and Gen Z are flowing in. While the younger generations seem to be completely different than the older generations, many care about some of the same things- financial security, working conditions, etc. However, due to social and cultural differences in the era that Gen Z has grown up in, they have concerns that were never even workplace topics of discussion 20 years ago.
How Does Temp to Hire Work? Benefits, Concerns, & More
Whether you’re just starting out your career or are looking for the next opportunity, the job market has never been more burgeoning with opportunities. From flexible work options and freelancing gigs to seasonal and temp-to-hire work, people today are spoiled for choice when it comes to finding engaging and fulfilling work.
Explore Your Skill and Find the Best Way to Make Money From Home
When you just can’t stomach another drive-thru coffee on your morning commute, close your navigation app on your phone and search for easy ways to make money from home instead. With a computer and some niche skills, there are countless opportunities for you to earn a living from your couch. (Okay, fine, your home office.) Below, we’ll explore 30 different ways to make money from home, as well as a few “too-good-too-be-true" warning signs to know to keep you from booking the wrong remote gig.
What is Employment Participation Rate
According to economists, there are four factors of production that go into creating higher quality goods at lower prices. These are
How to Get Pay Stubs (From Previous Employee Also!)
Pay stubs are an important piece of document which shows your earnings in a given period, as well as any deductions made towards your health insurance or pension contributions. They’re also excellent for finding out how much your recent salary raise has bumped up your monthly net income.