- 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 yearExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience solving Big Data batch and real-time data processing problems, with large-scale analytics and data processing engines such as Apache Spark and Databricks. Knowledge of Python data science tools, such as SciKit, Numpy, TensorFlow, Jupyter.
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 Today - 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
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 Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience with Big Data stack using Hadoop, Spark, Accumulo or MongoDB, and Solr or Elasticsearch. Leverage your expertise in Kubernetes, Ansible, AWS Cloud Migration, Cloudera, and IaC.
$150ExpandApply 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.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience using modern containerization software including Docker, OpenShift and Kubernetes Experience with Snowflake, Microsoft Power BI, Splunk, Securonix, and CywareProficiency with automation tools such as Ansible, Chef or Puppet Project Management experience Industry related certifications such as PMP, GSLC, GISF, GSEC, CISSP Experience with big data tools: Hadoop, Spark, Kafka, etc.
$128,900 - $195,400 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience with notebook environments and big data engineering tools such as: Databricks, Sage Maker, Google Colab, Jupyter, etc. Lead Data Engineer, Big Data Engineering.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Utilizing ElasticSearch and other big data technologies like MapReduce, Apache Spark and Scala. Working within an Amazon Web Services (AWS) cloud environment and utilizing tools such as SMS, Data Pipeline, Relational Database (RDS), Cloudwatch, EC2, EBS, S3, KMS, or SMS.
ExpandApply NowActive JobUpdated Today - 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 - UpvoteDownvoteShare Job
- Suggest Revision
Leverage big data technologies to efficiently process and analyze very large datasets, similar to those encountered in a federal agency. - Demonstrated experience working with very large datasets and leveraging big data technologies to process and analyze data efficiently.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience with big data analytics, machine learning, artificial intelligence, or anomaly. Infrastructure Support (IS) certification, including CEH, CySA+, GICSP, SSCP, CHFI, Experience with DevSecOps, CI and CD, IaC and CaC, IT Infrastructure Library, and IT.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more. Previous experience performing research in data analytics or big data.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
As Principal HR Data Analyst, this hands-on role will drive HR data discovery and collection, data security, data cataloging, data transformation, data analysis, data visualization, and reporting in support of the organization’s overall HR Data & Reporting objectives.
$200ExpandApply NowActive JobUpdated 2 days ago
big data jobs Company: Chipotle in Falls Church, VA
FEATURED BLOG POSTS
Why Are Internships Important & How Can You Get One?
Internships are for college students or people who have just completed their degree. If you are a student or recent grad, you may be wondering how to land an internship. If you've never had one, you may even wonder if you need one. After all, didn’t you work in that call center while also doing exams? Or perhaps you’ve bartended your first year in college?
Why is Networking Important & How to Network Effectively
Even if you’ve worked hard to earn a degree from an impressive school, landing your dream job might still come down to who you know – otherwise known as networking. Lots of qualified candidates might apply for a job, but the person who gets it might very well be so-and-so’s sibling, friend, or kid. Sometimes the only way to get your foot in the door is to know someone.
Why Do Recruiters Ghost and What Can You Do About It?
Once you’ve finally mustered up the courage to find another job, leaning into the job hunt can feel scary and overwhelming. So, it does nothing to help your confidence when your outbox is full of unanswered follow-ups and interview requests. You thought that ghosting only happens on dating apps—so why do recruiters ghost, too? Recruiter ghosting is not an effective recruiting strategy, but sometimes it’s inevitable. How can you overcome such an unfortunate new career trend? Read on.
How do Good Interviewers Prepare for Interviews?
Just like candidates take the time to research you and your company, you should take the time to prepare for the interview. Preparing for the interview doesn't just reflect well on your employer brand and create a better candidate experience. Preparation also helps prevent bad hiring decisions. Bad hiring decisions are usually a result of poor execution during the hiring process. However, going into an interview fully prepared and ready to evaluate candidates will help avoid bad hires. So, here are 6 interview preparation tips for employers.
How to Get a Union Job? A Step-by-Step Guide
A union job can significantly impact your job security, pay, and employment benefits. Whether this is your first job or you have years of experience, a union job can offer much-needed protection in a labor market where employees are hired and fired at will.
Should I Hire for Potential Over Experience?
The workforce is shifting every day. In fact, research from the World Economic Forum (WEF) shows over half of employees around the world will need to upskill or reskill by 2025. The rapid rise of digital literacy, automation, and new technologies will quickly supersede businesses that don't train ahead of the curve. With the dire need to invest in training, it's evident that hiring someone with experience isn't that much different than hiring someone without it.
How to Decide Between Two Job Offers: 10 Practical Tips
It’s arguably a good predicament to have. You’ve applied to many jobs, interviewed multiple times, and now find yourself with two legit job offers. Nice! But although this is a feel-good validation of everything you have to offer, a daunting choice lies ahead. How do you decide which job will be the best fit for you?