Data Engineer Salary at Itis BETA

How much does an Itis Data Engineer make?

As of April 2025, the average annual salary for a Data Engineer at Itis is $121,093, which translates to approximately $58 per hour. Salaries for Data Engineer at Itis typically range from $109,950 to $130,252, reflecting the diverse roles within the company.

It's essential to understand that salaries can vary significantly based on factors such as geographic location, departmental budget, and individual qualifications. Key determinants include years of experience, specific skill sets, educational background, and relevant certifications. For a more tailored salary estimate, consider these variables when evaluating compensation for this role.

DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.

Website:
itis.gov
Size:
<25 Employees
Revenue:
$5M - $10M
Industry:
Software & Networking

Welcome to ITIS, the Integrated Taxonomic Information System! Here you will find authoritative taxonomic information on plants, animals, fungi, and microbes of North America and the world. We are a partnership of U.S., Canadian , and Mexican agencies ( ITIS-North America ); other organizations; and taxonomic specialists. ITIS is also a partner of Species 2000 and the Global Biodiversity Information Facility (GBIF) . The ITIS and Species 2000 Catalogue of Life (CoL) partnership is proud to provide the taxonomic backbone to the Encyclopedia of Life (EOL) .

See similar companies related to Itis

What Skills Does a person Need at Itis?

At Itis, specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.

  1. SQL: Structured Query Language) is a domain-specific language used in programming and designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS).
  2. Python: Applying the concepts and algorithms of Python to design, develop and maintain software applications to comply with business requirements.
  3. Data engineering: Data engineering is the practice of designing and building systems for collecting, storing, and analyzing data at scale
  4. AWS: Amazon Web Services, Inc. is a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis.
  5. Big Data: Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. Big data was originally associated with three key concepts: volume, variety, and velocity. Other concepts later attributed to big data are veracity (i.e., how much noise is in the data) and value. Current usage of the term big data tends to refer to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set. "There is little doubt that the quantities of data now available are indeed large, but that's not the most relevant characteristic of this new data ecosystem." Analysis of data sets can find new correlations to "spot business trends, prevent diseases, combat crime and so on." Scientists, business executives, practitioners of medicine, advertising and governments alike regularly meet difficulties with large data-sets in areas including Internet searches, fintech, urban informatics, and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics, connectomics, complex physics simulations, biology and environmental research.

Related Jobs

Educated Solutions Corp
Arlington , VA

ESC has an exciting opportunity for a Data Engineer working hybrid in Arlington, VA to support our premier client’s infrastructure automation team. The ideal candidate will have strong SQL skills. This is a 4-month contract role that offers experience working in one of the world's largest and most complex data warehouse environments. Responsibilities: Develop and Support the analytic technologies that give our customers timely, flexible and structured access to their data. Design and Implement a platform using third-party and in-house reporting tools, modeling metadata, building reports and dashboards Work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs. Required Skills: 7+ years of related experience working on database projects, data pipeline with skills in Python language, SQL, QuickSite, and AWS technologies Bachelor’s degree in Computer science Very strong development experience with notable BI


Sponsored
4/21/2025 12:00:00 AM
ManTech
Chantilly , VA

ManTech seeks a motivated, career and customer-oriented Data Engineer to join our team in Chantilly, VA. The Data Engineer will leverage their development skills and experience, to support the successful designing, ingesting, cleansing, transformation, loading, and display of significant amounts of data. Responsibilities include but are not limited to: Designing, implementing, and optimizing data extraction, cleansing, transformation, loading, replication/distribution, and large-scale ingest systems in a Big Data environment Optimizing all stages of the data lifecycle, from initial planning, to ingest, through final display and beyond Developing custom solutions/code to ingest and exploit new and existing data sources Developing data profiling, deduping logic, and matching logic for analysis Organizing and maintaining Data Layer documentation, so others are able to understand and use it. Also, work closely with data scientists to craft data pipelines which serve the development of mode


Sponsored
4/19/2025 12:00:00 AM
ManTech
Herndon , VA

ManTech seeks a motivated, career and customer-oriented Data Engineer to join our team in Herndon, Virginia. As a Data Engineer on our team, you will work with of a team of cyber experts protecting our national security, while working on innovative projects that offer opportunities for advancement. We encourage our team members to share and grow their skills and expertise while creating robust and state-of-the-art solutions. Responsibilities include but are not limited to: Design, build, and optimize systems for data collection, storage, access, and analytics at enterprise scale, which may involve security-sensitive actions like illicit network access or data transfer Make data available, accessible, and secure to all stakeholders Create robust and resilient data pipelines to connect data sources to analytics tools Analyze data sources for accuracy, data prioritization, and apply appropriate logic to developed solutions. Work with various analysts to craft requirements Enumerate the ne


Sponsored
4/19/2025 12:00:00 AM
Intelliswift - An LTTS Company
Washington , DC

Job Title: Data Analyst II Locations: Washington DC (Onsite) Duration: 12 Months Contract on W2 (Possible extension) We are seeking a highly skilled and experienced Data Analyst to join our client's Data Engineering team. As a key team member, you will be responsible for providing data analysis support to Global Operations across the organization. Your primary focus will be on resolving privacy tasks, on-call tasks that require backfilling, tracking tasks, creating bug intake forms, and deprecating stale tables. Must-Have Skills: 2+ years of experience in developing ETL pipelines, modifying existing databases, and database management systems Strong SQL skills AND experience with data visualization tools such as Tableau or Power BI Knowledge of data warehousing concepts and ETL processes Nice-to-have Skills: Familiarity with Client's data infrastructure and tools (e.g., Hive, Presto, Spark) Experience with data governance and data quality best practices Experience with Python programmin


Sponsored
4/19/2025 12:00:00 AM
Convergenz
Dhs , VA

Data Engineer Must have skills: Python, Spark, ETL, Data streaming experience, AWS. Nice to have: Hadoop, Glue, Snowflake, Databricks Fullstack - Backend -python based API - Angular & Web development is plus. Existing pipelines need to be transformed into PySpark Location preference is local to McLean or Richmond, VA. We are an Equal Opportunity Employer committed to a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, gender identity, national origin, disability, or veteran status. We value diverse perspectives and actively seek to create an inclusive environment that celebrates the unique qualities of all employees. We are an Equal Opportunity Employer committed to a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, gender identity, national origi


Sponsored
4/18/2025 12:00:00 AM
Data Society
Washington , DC

We Are: At Data Society, we provide bespoke, leading-edge data and AI solutions for Fortune 1,000 companies and federal, state, and local governmental organizations. We partner with our clients to educate, equip, and empower their workforces with the skills they need to achieve their goals and expand their impact. We are empowering the workforces of the future, from data literacy for all employees to support for data engineers and data scientists to train up on the most complex AI solutions and Machine Learning skills. Job Summary: The Data Engineer is responsible for building scalable, performant data pipelines that power critical operational and analytical applications. The engineer must be able to work closely with our data science teams to run ML/AI models on top of enterprise-scale data and build the supporting data scaffolding to orchestrate, test, and monitor data systems. This is a customer-facing role within a cross-functional team so the ability to manage timelines, work both


Sponsored
4/18/2025 12:00:00 AM
Hyertek
Washington , DC

HyerTek is a Washington-based technology company delivering innovative and customized solutions to federal government agencies and commercial enterprises. We specialize in leveraging cutting-edge technologies to drive digital transformation and operational efficiency. Founded on the principles of excellence, integrity, and client success, HyerTek has established itself as a trusted partner for organizations seeking to modernize their systems and enhance their technological capabilities. Our team of dedicated professionals combines deep technical knowledge with a thorough understanding of our clients' unique challenges and objectives. At HyerTek, we believe that the right technology solutions should not just meet today's needs but anticipate tomorrow's challenges. Our collaborative approach ensures that we work closely with our clients to develop and implement solutions that drive meaningful results and provide lasting value. The Role We are seeking an experienced Data Engineer with str


Sponsored
4/18/2025 12:00:00 AM
Infinitive Inc
Dhs , VA

About Infinitive: Infinitive is a data and AI consultancy that helps clients modernize, monetize, and operationalize their data to generate lasting value. They pride themselves on their deep industry and technology expertise, ensuring that they drive and sustain the adoption of new capabilities. Infinitive is committed to aligning their team with their clients' culture, ensuring a successful partnership by bringing the right mix of talent and skills for high return on investment. Infinitive has earned recognition as one of the "Best Small Firms to Work For" by Consulting Magazine, receiving this accolade seven times, most recently in 2024. They have also been honored as a "Top Workplace" by the Washington Post, "Best Places to Work" by the Washington Business Journal, and "Best Places to Work" by Virginia Business. Job Summary: We are seeking a skilled Data Engineer to join our team and play a key role in designing, building, and maintaining robust data pipelines and platforms. The ide


Sponsored
4/18/2025 12:00:00 AM

Check more jobs information at Itis

Job Title Average Itis Salary Hourly Rate
2 Bartender $21,969 $11
3 Business Consultant $115,155 $55
4 Chief Financial Officer $413,431 $199
5 Electrical Engineer $74,570 $36
6 Electronic Technician $54,871 $26
7 Full-Stack Net Developer $86,075 $41
8 IT Head $134,989 $65
9 Net Developer $115,895 $56
10 Project Manager $108,611 $52
11 Storage Architect $59,132 $28
12 System Administrator $104,328 $50

Hourly Pay at Itis

The average hourly pay at Itis for a Data Engineer is $58 per hour. The location, department, and job description all have an impact on the typical compensation for Itis positions. The pay range and total remuneration for the job title are shown in the table below. Itis may pay a varying wage for a given position based on experience, talents, and education.
How accurate does $121,093 look to you?

FAQ about Salary and Jobs at Itis

1. How much does Itis pay per hour?
The average hourly pay is $58. The salary for each employee depends on several factors, including the level of experience, work performance, certifications and skills.
2. What is the highest salary at Itis?
According to the data, the highest approximate salary is about $130,252 per year. Salaries are usually determined by comparing other employees’ salaries in similar positions in the same region and industry.
3. What is the lowest pay at Itis?
According to the data, the lowest estimated salary is about $109,950 per year. Pay levels are mainly influenced by market forces, supply and demand, and social structures.
4. What steps can an employee take to increase their salary?
There are various ways to increase the wage. Level of education: An employee may receive a higher salary and get a promotion if they obtain advanced degrees. Experience in management: an employee with supervisory experience can increase the likelihood to earn more.