Goodwin & Company
Goodwin & Company

63 Goodwin Data Software Engineer Jobs Hiring Near You

Cloud Big Data Software Engineer

Aurora, CO

$56.75 - $75.25/hr

Cloud Big Data Software Engineer LOCATIONAurora, CO 80014 CLEARANCETS/SCI Full Poly (Please note ... Join a company where employees are treated like family, and your career is built to last. We are a ...

Senior Data Engineer

Kansas, KS · On-site +1

$93.50K - $127K/yr

We hire the best software engineers, but experience in our stack can't hurt: NinjaOne is built on ... Data Pipeline Development: Design and implement scalable data pipelines that move and transform ...

Senior Software Engineer

Las Vegas, NV · On-site

$112.10K - $147.80K/yr

The Senior Software Engineer will be a high-agency individual responsible for designing, building ... Integrations & Data * Build and maintain integrations with the company's existing business systems ...

$94.30K - $128.10K/yr

We hire the best software engineers, but experience in our stack can't hurt: NinjaOne is built on ... Data Pipeline Development: Design and implement scalable data pipelines that move and transform ...

Senior Data Engineer

NC · On-site +1

$106.50K - $144.70K/yr

We hire the best software engineers, but experience in our stack can't hurt: NinjaOne is built on ... Data Pipeline Development: Design and implement scalable data pipelines that move and transform ...

Senior Data Software Engineer

Baltimore, MD · On-site +1

$121.70K - $160.50K/yr

... software development, with a strong focus on data engineering and data science. * Experience in building data pipelines and managing large-scale data systems using technologies like SQL and Python.

Senior Data Engineer

New York, NY · On-site +1

$116K - $157.50K/yr

We hire the best software engineers, but experience in our stack can't hurt: NinjaOne is built on ... Data Pipeline Development: Design and implement scalable data pipelines that move and transform ...

$101.20K - $137.50K/yr

We hire the best software engineers, but experience in our stack can't hurt: NinjaOne is built on ... Data Pipeline Development: Design and implement scalable data pipelines that move and transform ...

Senior Data Software Engineer

Baltimore, MD · On-site +1

$121.70K - $160.50K/yr

... software development, with a strong focus on data engineering and data science. * Experience in building data pipelines and managing large-scale data systems using technologies like SQL and Python.

Software Engineer- Data(FUTURE ROLES)

Bellevue, WA

$129.20K - $155.20K/yr

As a Software Engineer-Data Platforms, your primary responsibility will be to ensure our data ... As an analytics company, data engineering is core to our success. Data is our life blood and our ...

Principal Software & Data Engineer

Chicago, IL · Hybrid

$139.20K - $186.60K/yr

Principal Data/Software Engineer & Architect Chicago or NYC based - work from home 3-4 days/week Summary We're seeking a Principal Software Engineer & Architect that is well versed in cloud-based ...

Software Engineer, Data Governance

Menlo Park, CA

$134.90K - $162K/yr

Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Snowflake is ...

Showing results 41-60

Goodwin & Company Jobs Information

What are the key skills and qualifications needed to thrive as a Data Software Engineer, and why are they important?

To thrive as a Data Software Engineer, you need strong programming skills (often in Python, Java, or Scala), a solid understanding of data structures and algorithms, and a background in computer science or a related field. Familiarity with big data frameworks (like Hadoop or Spark), database systems (SQL/NoSQL), and data pipeline tools is typically required, along with relevant certifications such as AWS Certified Data Analytics. Excellent problem-solving abilities, collaboration, and effective communication are soft skills that set top performers apart. These skills ensure the efficient design, development, and optimization of robust data systems critical for driving business insights and decision-making.

What are some common challenges Data Software Engineers face when working with large datasets?

Data Software Engineers often encounter challenges related to scalability, data quality, and system performance when handling large datasets. Ensuring that data pipelines can efficiently process high volumes of data without bottlenecks requires robust architecture and frequent optimization. Additionally, maintaining data integrity and consistency across distributed systems can be complex, especially when integrating data from multiple sources. Collaboration with data scientists, analysts, and DevOps teams is key to overcoming these challenges and building reliable, efficient data solutions.

What are Data Software Engineers?

Data Software Engineers are professionals who design, build, and maintain the software systems that enable organizations to collect, process, and analyze large volumes of data. They bridge the gap between data engineering and software development by creating scalable, efficient pipelines and applications that support data-driven decision making. Their responsibilities often include developing data processing frameworks, ensuring data quality, and collaborating with data scientists and analysts to deliver actionable insights.

What is the difference between Data Software Engineer vs Data Engineer?

AspectData Software EngineerData Engineer
Primary FocusDeveloping software tools and applications for data processing and analysisBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsProgramming, software development, data modeling, often with certifications in software engineeringDatabase systems, ETL tools, cloud platforms, often with certifications in data engineering
Work EnvironmentSoftware development teams, data science teams, often in tech companiesData infrastructure teams, IT departments, cloud service providers

While both roles work with data, Data Software Engineers focus on creating software solutions for data analysis, whereas Data Engineers build the infrastructure to collect, store, and process data efficiently. Both roles require programming skills and often overlap, but their core responsibilities differ in scope and focus.

What other companies are hiring for Data Software Engineer jobs?
What are the most popular jobs at Goodwin?
Infographic showing various Data Software Engineer job openings at Goodwin in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 89% Physical, and 11% Hybrid job distribution.

Streamlit Data Software Engineer

GIGATEC Engineering

Annapolis Junction, MD • On-site

Full-time

Medical, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

Perks and Benefits

  • 100% Paid Healthcare
  • 10% 401k in every paycheck
  • 100% Fully Vested!

NOTE – Our positions require a Top Secret clearance, as well as the favorable completion of a polygraph. Applicants must be authorized to work in the U.S. We are unable to sponsor an employment Visa.


What You’ll Be Doing (We don’t love the bullet points, but we love the work!)


In this key role as a Software Engineer, you'll get to transform a Streamlit-built UI prototype into a polished, production-ready interface, with a roadmap to extend its reach and build it into an interface with future plans to make the interface available external to the corporate enterprise.
 Requirements

Required Skills and Experience (SWE Swiss Army knife with a keyboard)

•    Using the Linux CLI and Linux tools
•    Developing Bash scripts to automate manual processes
•    Recent software development experience using Python and Java
•    Familiar with Streamlit, a Python framework for building interactive web applications
•    Developing front-end applications using TypeScript, HTML, and CSS
•    Experience with JavaScript frameworks such as React, Angular, and Vue
•    Familiar with Distributed Big Data processing engines including Apache Spark 
•    Experience using Jupyter Notebooks
•    Experience with data wrangling and preprocessing using tools such as pandas, NumPy
•    Working with structured, semi-structured, and unstructured data such as Parquet, JSON, CSV, XML
•    Familiarity with data quality concepts, data validation, and anomaly detection
•    Experience with Git Source Control System
Position Desired Skills 
•    Experience using Apache Airflow (DAG design, scheduling, operators, sensors) to orchestrate, schedule, and monitor complex workflows
•    Experience with SQL technologies such as MySQL, MariaDB, and PostgreSQL for querying, joining, and aggregating large datasets
•    Familiar with HPC Job Scheduling tools including Slurm
•    Experience using the Atlassian Tool Suite (JIRA, Confluence) 
•    Appreciates a sense of humor and the occasional well-timed joke. 

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