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Software Engineer (Data Analytics Focus) Job Opening In Columbia – Now Hiring BigBear.ai


Job description

Overview

BigBear.ai is seeking a Software Engineer.

You will be a member of the Mission Intelligence (MI) team supporting a variety of data engineering, analysis, and automation efforts.

The MI team maintains a business intelligence platform supporting data-driven decisions in the enterprise.

Your primary responsibility will be to ensure the availability of this mission-essential platform.

You will also contribute to the MI team as a software engineer and analytic developer where you will design, develop, and integrate solutions involving the analysis of large data sets to establish mission cognizance and deliver mission-centric insights.



What you will do


+ Maintain and advance a mission-essential business intelligence platform.




+ Elicit requirements from stakeholders, gather and analyze available data, and develop solutions for delivering key metrics.




+ Develop analytics to combine, normalize, and enrich large data sets.




+ Design and implement Extract, Transform, Load (ETL) workflows to convert and normalize data.




+ Augment the platform with new tools or technologies.




+ Provide guidance to more junior software engineers and data scientists.




What you need to have


+ B.S degree in a technical discipline with 8 years of experience, or 4 years of additional experience in place of a B.S

+ Clearance:TS/SCI w/ Poly

+ Production-grade software development experience in Java and Python.



+ Experience deploying and maintaining Elastic Stack components (Elasticsearch, Kibana).



+ Familiarity with customer authentication and authorization platforms and standards.



+ Experience with one or more Extract, Transform, Load (ETL) or data engineering platforms (e.g., Apache NiFi , AirFlow ).



+ Experience with service containerization and deployment with Docker/Kubernetes.



+ Familiarity with Git for software version control.



+ Experience with Atlassian Tools (Jira, Confluence)


What we'd like you to have


+ Knowledge of map-reduce analytic environments (e.g., Hadoop).




+ Experience with cloud-based deployment environments (e.g., AWS).




+ Experience prototyping web applications (JavaScript).




+ Knowledge of end-to-end SIGINT collection and analysis systems.




+ Experience with production CNO capabilities and operations.




About BigBear.ai

BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity.

Customers and partners rely on Bigbear.ai’s predictive analytics capabilities in highly complex, distributed, mission-based operating environments.

Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI.

For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.


BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.





Required Skill Profession

Other General


  • Job Details

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Unlock Your Software Engineer Potential: Insight & Career Growth Guide


Real-time Software Engineer Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Software Engineer in Columbia, United States, highlighting market share and opportunities for professionals in Software Engineer roles.

181044 Jobs in United States
181044
1307 Jobs in Columbia
1307
Download Software Engineer Jobs Trends in Columbia and United States

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at BigBear.ai adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Software Engineer (Data Analytics Focus) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Columbia. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Software Engineer (Data Analytics Focus) typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Software Engineer (Data Analytics Focus) Job Success

BigBear.ai interview tips for Software Engineer (Data Analytics Focus)

Here are some tips to help you prepare for and ace your Software Engineer (Data Analytics Focus) job interview:

Before the Interview:

Research: Learn about the BigBear.ai's mission, values, products, and the specific job requirements and get further information about

Other Openings

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Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Final Thought:

To prepare for your Software Engineer (Data Analytics Focus) interview at BigBear.ai, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the BigBear.ai's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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