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Analytica LLC fully complies with all local and state regulations regarding the display of salary ranges. If required, the URL below is specifically for potential hires. The salary offered for a position is determined based on various factors, including applicants' skills, job responsibilities, relevant experience, degrees, certifications, market considerations, and project financials. Our compensation packages include not only base salary but also a range of incentive bonus programs to reward outstanding performance and contributions.

Follow this link to obtain salary ranges by positions: Pay Transparency - Analytica

Review our open positions and apply to the positions that match your qualifications: Search All Openings

Hiring Process at Analytica

At Analytica, we follow a structured hiring process to ensure we select the best candidates for our team. Here is an overview of our hiring process:

Recruiter's Call: The process begins with a recruiter reaching out to potential candidates. During this initial call, the recruiter will provide an overview of the position and gather preliminary information about the candidate's background and experience.

Criteria Assessment: Criteria Assessment is a quick, online test that helps the hiring team understand the candidate's skills, problem-solving ability, and work style to ensure the best fit for the role. It takes about 20 minutes and can be completed anytime on any device, phone or computer—no special preparation needed.

Rounds of Interviews: Based on the initial call and the hiring manager's approval, the recruiter will establish direct interviews with the team. There may be multiple rounds of interviews that is designed to assess the candidate's qualifications, skills, and fit for the role.

Final Decision: After the interviews, the hiring team will review the candidate's performance and make a final decision. If the team decides to present an offer, the recruiter will directly call the candidate to discuss details such as salary, benefits, start date, etc. Others will also be notified through email or a call.

Use of AI in the Hiring Process

To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.

Application Review: AI tools may help identify skills and experiences relevant to the role.
Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.

By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.

Impersonation Scams

We would like to bring to your attention the increasing number of impersonation scams targeting organizations worldwide. These scams involve individuals pretending to be someone from the hiring team such as HR manager or recruiters, to deceive you into providing sensitive information or making unauthorized transactions.

To protect yourself, please follow these guidelines:

Verify the Sender: Always double-check the sender's email address and contact details. If something seems off, do not hesitate to reach out to the person directly using a known and trusted communication method.

Be Cautious with Requests for Sensitive Information: Be wary of any unexpected requests for sensitive information, such as passwords, financial details, or personal data. Legitimate organizations will never ask for such information via email.

Look for Red Flags: Pay attention to any unusual language, spelling mistakes, or urgent requests that pressure you to act quickly. These are common signs of a scam.

Report Suspicious Activity: If you receive a suspicious email or message, report it immediately to our IT department. Do not respond or click on any links or attachments.

Stay Informed: Keep yourself updated on the latest scam tactics and best practices for cybersecurity. Regularly attend training sessions and read our security bulletins.

When receiving email communication from Analytica, please ensure that the email domain is applytojob.com or analytica.net to verify its authenticity.

By staying vigilant and following these guidelines, we can help protect ourselves from impersonation scams.

Data Engineer

Remote

Full Time

Mid Level

Analytica is seeking Data Engineers across multiple experience levels—from junior to senior—to join our growing team and support the design and development of scalable data platforms and analytics solutions. We are actively considering candidates with a range of expertise, and responsibilities will be aligned to demonstrated technical depth, autonomy, and ability to deliver impact.

The ideal candidate thrives in an agile, collaborative environment and brings experience (or strong foundational knowledge, for emerging engineers) in building data pipelines and architectures using Databricks and modern data engineering frameworks.

Analytica has been recognized by Inc. Magazine as one of the fastest-growing private companies in the U.S. for three consecutive years. We partner with organizations across industries to deliver impactful, data-driven solutions. We offer competitive compensation, performance-based bonuses, employer-sponsored health benefits, professional development funding, and a 401(k) match.

Responsibilities include (but are not limited to):

Design, build, and maintain scalable data pipelines and data architectures using Databricks and distributed processing frameworks (ownership and complexity vary by level)
Develop and optimize data models, including dimensional (star/snowflake) schemas, to support analytics and reporting use cases
Build and support ETL/ELT processes using SQL, Python, and Spark to ingest, transform, and curate datasets
Collaborate with stakeholders to translate business requirements into technical data solutions
Ensure data quality, integrity, and performance through testing, monitoring, and optimization
Contribute to data platform design decisions, tooling selection, and engineering best practices (increasing influence at higher levels)
Implement and support CI/CD pipelines for data workflows and assist with deployment and maintenance of data applications
Apply data governance, security, and metadata management best practices

Qualifications (aligned to expertise level):

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related quantitative field (or equivalent experience)
Experience working across cloud (AWS, Azure) or hybrid data environments
Emerging / Junior Data Engineer:
- Foundational knowledge of SQL and Python (or similar language)
- Exposure to Databricks, Apache Spark, or distributed data processing concepts through coursework, internships, or projects
- Understanding of basic data modeling and ETL/ELT concepts
- Ability to work within established pipelines and contribute to data workflows with guidance
Mid-Level Data Engineer:
- Hands-on experience building and maintaining data pipelines using Databricks and Spark
- Strong SQL and programming skills (Python and/or Scala)
- Experience designing data models and optimizing data processing workflows
- Ability to independently deliver data solutions and troubleshoot performance issues
Senior Data Engineer:
- Deep expertise in Databricks, Spark, and large-scale data processing architectures
- Proven ability to design and implement scalable data platforms and lakehouse architectures
- Strong experience with performance tuning, data reliability, and cost optimization
- Ability to lead technical design, mentor team members, and influence data engineering best practices
- Experience working cross-functionally to define data strategy and architecture
Strong communication skills and ability to work effectively with both technical and non-technical stakeholders
US Citizenship and must be able to obtain and maintain security clearance

Preferred Qualifications:

Experience with Delta Lake and lakehouse architecture pattern
Familiarity with modern data stack tools (e.g., dbt, Airflow, or similar orchestration tools)
Experience with data governance, cataloging, and lineage tools
Experience mentoring junior engineers or leading technical initiatives (senior level)
Relevant certifications in data engineering or big data technologies particularly in Databricks

About Analytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning SBA certified small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.

Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.

To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.

Application Review: AI tools may help identify skills and experiences relevant to the role.
Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.

By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.

When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

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