senior software engineer analytics

Openkyber

<div>Position Title: Senior Analytics Engineer
Location: Remote
Position Overview
We are seeking a Senior Analytics Engineer to support the modernization of analytics and reporting workflows within a Business Informatics organization. This role focuses on translating and enhancing legacy SAS-based analytics into scalable, maintainable Python-based solutions. This is not a pure software engineering role and not a traditional reporting analyst role. The ideal candidate combines strong analytical thinking, deep Python expertise, and the ability to interpret and refactor complex SAS logic while preserving business intent and output accuracy.
Key Responsibilities
<ul><li>Analyze and interpret existing SAS programs, including DATA steps, PROC SQL, and analytical procedures</li>
<li>Translate SAS-based analytics and transformations into Python using pandas, numpy, and SQL while preserving business logic</li>
<li>Partner closely with Business Informatics stakeholders to understand reporting intent, metrics, and downstream usage</li>
<li>Validate converted logic by reconciling outputs, row counts, and aggregations between SAS and Python</li>
<li>Improve and modernize analytics pipelines by simplifying logic and reducing technical debt</li>
<li>Collaborate with technology and data platform teams to ensure Python solutions align with enterprise standards</li>
<li>Document business logic, assumptions, and data transformations for long-term maintainability</li>
<li>Ensure accuracy and integrity of analytical outputs through thorough validation and testing</li>
</ul>Required Qualifications
<ul><li>Strong experience with Python for data analysis, including pandas, numpy, and SQL integration</li>
<li>Working knowledge of SAS, with the ability to confidently read and interpret existing SAS code</li>
<li>Experience translating or modernizing legacy analytics or reporting logic</li>
<li>Solid understanding of analytics concepts such as aggregations, joins, time-based logic, and derived metrics</li>
<li>Experience validating analytical outputs and ensuring data accuracy</li>
<li>Ability to collaborate with business users and translate analytical requirements into technical solutions</li>
</ul>Preferred Qualifications
<ul><li>Experience in healthcare, payer, or regulated data environments</li>
<li>Familiarity with SAS macros and common PROC workflows</li>
<li>Exposure to cloud-based analytics platforms or modern data stacks</li>
<li>Experience supporting Business Intelligence, reporting, or informatics teams</li>
<li>Background in analytics engineering or data transformation roles
</li></ul>For applications and inquiries, contact: hirings@openkyber.com</div>

OCI Analytics Cloud Engineer

Gulfstream Aerospace

<div>Reporting Developer Senior - Cloud Analytics Data Engineer Senior in GAC Savannah 
Unique Skills:<div>
Azure Databricks or Microsoft Fabric Data Engineer Skillset Requirements:</div><div>
General:</div><ul><li>
Minimum 5 years experience with Azure Databricks or Python ETL Pipelines</li><li>
Experience with medallion framework architecture and ingesting data from on-premise systems to either Azure Databricks or Microsoft Fabric</li><li>
Expertise in writing production-grade Python code for data ingestion, transformation, and export, including use of unit testing, building reusable frameworks, error handling, disaster recover, and logging frameworks.</li></ul><div></div><div> 
Preferred Certifications:</div><ul><li>
Databricks Certified Data Engineer Professional</li><li>
And / Or Microsoft Certified: Azure Data Engineer Associate</li></ul><div></div><div> 
Either one of the following (Databricks or Microsoft Fabric):</div><div>
Databricks:
</div><ul><li>Deep understanding of Unity Catalog, data lineage, access control, and audit logging, with the ability to enforce enterprise-wide data governance policies.</li></ul><ul><li>
Proven ability to design and implement scalable, cost optimized, fault-tolerant data pipelines using Databricks Workflows, Declarative Pipelines, Delta Lake, and Auto Loader, with a focus on modularity and reusability.</li><li>
Experience securely ingesting data from on-premise databases (e.g., SQL Server, Oracle) using CDC and batch based methodologies by extending existing pipelines or creating new pipelines.</li><li>
Ability to implement and manage CI/CD pipelines for Databricks notebooks and workflows using Azure DevOps, Terraform, and Databricks Asset Bundles including automated testing and deployment.</li><li>
Familiarity with serverless cost models, usage monitoring, and optimization strategies to ensure efficient resource utilization and budget adherence.</li></ul><div></div><div> 
Microsoft Fabric:</div><ul><li>
Deep understanding of Lakehouse and Warehouse architecture and security</li><li>
Proven ability to configure pipelines, pipeline coordination, and pipeline monitoring</li><li>
Experience with performance optimization and monitoring</li><li>
Semantic modeling and Power BI experience</li></ul><div><div><div><h2 class="jobSectionHeader"> 
Education and Experience Requirements</h2></div><div>
Bachelor's Degree in Information Technology, Computer Science, Engineering or relevant curriculum required or equivalent combination of education and experience sufficient to successfully perform the essential functions of the job. 9 years relevant business/technical experience to include five (5) years specific reporting, data analytics, or related technical development/deployment experience. Master's Degree may be used to offset one (1) year of experience; PhD may offset two (2) years of experience.
Position Purpose:
This is a data and analytics development role within the Gulfstream Business Technology organization for the Enterprise Reporting team. This role directly supports the suite of Gulfstream Enterprise Reporting applications. Responsible for developing requirements, solution development, testing, deployment, and support of enterprise reporting solutions.</div></div><div><div><h2 class="jobSectionHeader">
Job Description</h2></div><div>
Principle Duties and Responsibilities:
Essential Functions:
<div><ul><li>Engages stakeholders and technology users in identifying, analyzing, and documenting business requirements.</li></ul><ul><li>
Creates plans according to schedules and assignments, and acts independently to carry them out.</li></ul><ul><li>
Assures that solution designs meet requirements for scalability, performance and quality in accordance with negotiated service level agreements. Drives decisions related to architecture and design.</li></ul><ul><li>
Delegates tasks and/or responsibilities to team members for action according to their level of experience and assigned accountability.</li></ul><ul><li>
Ensures applications processes are followed consistently and are in compliance with applicable policies, procedures, standards, etc.</li></ul><ul><li>
Performs work related to configuring, deploying, maintaining, and upgrading reporting and data analytics applications and processes. Responsible for tasks related to the development and deployment of systems, methodologies, standards and processes that result in the ability to create and manage the technical solutions.</li></ul><ul><li>
Supports management in recruiting, hiring, and career development.</li></ul><ul><li>
Assists with the development of work breakdown structures, project plans, and skills required. to develop and implement applications.</li></ul><ul><li>
Documents, develops, tests, deploys, and supports reporting and data analytics development using a variety of technical tools in support of business requirements.</li></ul></div>
Additional Functions:
<div><ul><li>Conducts briefings and participates in technical meetings concerning specific projects or other activities. .</li></ul><ul><li>
Serves as technical expert in one or more applications within a portfolio. .</li></ul></div>
Perform other duties as assigned.
Other Requirements:
<div><ul><li>Experience with Agile development methodology and working on an agile team preferred. Multiple agile based project deliveries and certified scrum master preferred.
</li></ul><ul><li>Demonstrated understanding of software development lifecycle methodologies (SDLC).
</li></ul><ul><li>Experience in conducting testing including design and execution of test cases.
</li></ul><ul><li>Demonstrated capability to understand high volume / high complexity data structures to deliver analytics solutions that drive business insight and value.
</li></ul><ul><li>Excellent presentation design and delivery skills.
</li></ul><ul><li>Ability to lead/facilitate cross-functional teams and meetings.
</li></ul></div>A credit history check from a national credit bureau will be conducted for all candidates for this position including new hires and current employees seeking promotion or transfer.This job requires one to be able to read, write, speak, and understand the English language.</div></div></div>
Additional Information
Requisition Number: 230957
Category: Information Systems
Percentage of Travel: Up to 25%
Shift: First
Employment Type: Full-time
Posting End Date: 02/21/2026
#LI-HS1 Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans<div></div> 
Gulfstream does not provide work visa sponsorship for this position, unless the applicant is a currently sponsored Gulfstream employee.
 Legal Information | Site Utilities | Contacts | Sitemap 
Copyright &copy; 2025 Gulfstream Aerospace Corporation. All Rights Reserved. A General Dynamics Company. 
Gulfstream Aerospace Corporation, a wholly-owned subsidiary of General Dynamics (NYSE: GD), designs, develops, manufactures, markets, services and supports the world's most technologically-advanced business jet aircraft</div>

Reporting Developer Senior - Cloud Analytics Data Engineer Senior

Intellitech llc

<div>Location: Remote - Washington D.C. / DMV Based 
Clearance: Active DoD Secret clearance required 
Citizenship: U.S. Citizenship required<h3 class="jobSectionHeader">
Position Overview</h3>
IntelliTech is seeking a Senior Data Engineer to support mission-critical programs focused on data integration, analytics enablement, and operational decision support in secure federal environments. In this role, you will work closely with engineers, analysts, and mission stakeholders to develop scalable data pipelines, integrate enterprise data sources, and enable reporting and visualization workflows across modern analytics and BI platforms.
The ideal candidate brings strong hands-on experience with Python, SQL, data pipeline development, and enterprise analytics platforms such as Databricks, Palantir, Tableau, Power BI, Qlik, or similar tools. This role is designed for an engineer who can support the full lifecycle of data solutions&mdash;from ingestion and transformation through validation, analytics enablement, visualization support, and sustainment.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, develop, and maintain scalable data pipelines to ingest, transform, validate, and operationalize data from a variety of enterprise sources.</li><li>
Build and support data integration workflows across structured and unstructured data sources, including APIs, files, cloud storage, databases, and enterprise platforms.</li><li>
Enable analytics and reporting use cases by preparing curated datasets and supporting integration with BI and analytics tools such as Tableau, Databricks, Palantir, Power BI, Qlik, or similar platforms.</li><li>
Support the development of data models, transformation logic, and reusable engineering patterns that improve data access, decision support, and operational visibility.</li><li>
Collaborate with analysts, engineers, and stakeholders to refine requirements and deliver data products aligned to mission needs.</li><li>
Support testing, debugging, validation, and performance tuning of data pipelines and analytics workflows.</li><li>
Leverage Git-based repositories and version control best practices to manage engineering efforts.</li><li>
Participate in Agile development activities, including sprint planning, backlog refinement, demos, and retrospectives.</li><li>
Document technical designs, data flows, transformation logic, and engineering processes to support maintainability and knowledge transfer.</li><li>
Contribute to secure, scalable, and repeatable delivery practices across cloud and DevSecOps environments.</li></ul><h3 class="jobSectionHeader">
Required Qualifications</h3><ul><li>
Active DoD Secret clearance.</li><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical discipline and 4+ years of relevant experience; or Master&rsquo;s degree in a related field and 2+ years of relevant experience.</li><li>
Strong experience building or supporting data pipelines, ETL/ELT workflows, and data integration solutions in enterprise environments.</li><li>
Hands-on experience with Python and SQL.</li><li>
Experience with one or more modern analytics, BI, or data platform tools such as Databricks, Palantir, Tableau, Power BI, Qlik, or similar technologies.</li><li>
Experience supporting reporting, analytics, dashboarding, or data visualization use cases.</li><li>
Familiarity with cloud-based data environments and enterprise data workflows.</li><li>
Familiarity with Git-based version control and collaborative development workflows.</li><li>
Strong problem-solving and troubleshooting skills.</li><li>
Excellent communication and collaboration skills, with the ability to work effectively across cross-functional teams.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience supporting mission-oriented analytics, logistics, operational, financial, or other large-scale federal data environments.</li><li>
Experience with Spark, PySpark, Databricks notebooks, semantic models, BI dashboards, or enterprise reporting pipelines.</li><li>
Experience with Palantir platform components, including Foundry, ontology concepts, or data workflows.</li><li>
Familiarity with DevSecOps best practices, CI/CD workflows, and modern software delivery methodologies.</li><li>
Experience working in Agile environments supporting enterprise software or analytics platforms.</li><li>
Exposure to data governance, metadata management, lineage, or enterprise data architecture concepts.</li><li>
Experience working with APIs, S3/object storage, or cloud-native data services.</li><li>
Top Secret clearance or eligibility is a plus.</li></ul><h3 class="jobSectionHeader">
Interview Process</h3>
Video interview required and may include a technical assessment.
Candidates should be prepared to discuss:<ul><li>
their hands-on experience building data pipelines and analytics workflows</li><li>
examples of data integration, reporting, or BI solutions they have built or supported</li><li>
mission or business problems their solutions helped solve</li><li>
their experience working with large datasets and enterprise data environments</li><li>
their proficiency with Python, SQL, and analytics / BI tools such as Databricks, Tableau, Palantir, Power BI, or Qlik</li><li>
their availability to support work in the Washington, DC Metro Area as needed</li></ul><h3 class="jobSectionHeader">
Work Authorization / Clearance Sponsorship</h3>
At this time, IntelliTech will only consider candidates who currently possess an active Secret clearance or higher. Clearance sponsorship is not available for this role.<h3 class="jobSectionHeader">
Compensation and Benefits</h3>
IntelliTech is committed to fair and equitable compensation practices. Actual compensation packages are based on several factors unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on these factors, IntelliTech utilizes the full width of the salary range.
IntelliTech provides a comprehensive benefits package designed to support employees&rsquo; well-being and professional growth, including health, dental, and vision insurance, a 401(k), paid time off, professional development opportunities, and flexible work arrangements to support work-life balance.<h3 class="jobSectionHeader">
About IntelliTech</h3>
IntelliTech is a dynamic and forward-thinking small business specializing in Full Stack Engineering, Data Analytics, Cloud Solutions, and DevSecOps services. We support government and commercial clients in solving complex technical challenges through practical, mission-focused engineering and delivery excellence.<h3 class="jobSectionHeader">
Equal Opportunity Employer</h3>
At IntelliTech, we are committed to building a diverse and inclusive workplace. We believe a variety of backgrounds and perspectives leads to stronger teams and better solutions. IntelliTech is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, gender, age, disability, or veteran status. We encourage all qualified candidates to apply.
lVTQgxzrFQ</div>

Senior Data Engineer – Analytics & BI Platforms

MDVIP LLC

<div>Description:

MDVIP: Transforming Primary Care, One Patient at a Time
MDVIP is a national leader in personalized healthcare, empowering over 425,000 members to achieve their health and wellness goals through a network of more than 1,400 concierge primary care physicians. Our program emphasizes preventive medicine, offering comprehensive screenings, advanced diagnostics, and individualized wellness plans. Recognized as a Great Place to Work&reg; since 2018, MDVIP is committed to excellence in patient care and employee satisfaction.
Position Summary:
The analytics engineer role is evolving. The traditional cycle of collecting data, building a model from scratch, and handing off a notebook is giving way to something far more dynamic&mdash;a practitioner who harnesses AI-powered tools and platforms to solve a broader range of problems, at greater speed, with higher quality, and across more of the business than ever before.
MDVIP&rsquo;s Analytics team is looking for a Senior Analytics Engineer who embodies this evolution. You&rsquo;ll bring a strong statistical and machine learning foundation, but what sets you apart is how you apply it: leveraging AI platforms, generative AI, automated ML, coding copilots, and emerging tools to compress development cycles, explore previously unfeasible problems, and deliver intelligence across the full breadth of what our Analytics team supports&mdash;from physician network growth to member engagement to operational efficiency.
This is a hands-on, high-impact role within a centralized Analytics team that works at the center of the business. You will be the person who knows how to use every available tool&mdash;traditional and AI-native&mdash;to get from question to answer to action faster than anyone thought possible.
Who You Are<ul><li>
An analytics engineer who has embraced the AI era&mdash;you don&rsquo;t just know how to build a model from scratch, you know when to let an AI tool do it faster and focus your energy on the problem framing, validation, and business impact.</li><li>
Endlessly curious about new technology&mdash;you&rsquo;re the person who has already tested the latest AI platform before anyone on the team has heard of it.</li><li>
Equally comfortable writing a PySpark transformation, training a classification model, prompting an LLM for document extraction, and presenting findings to Executive.</li><li>
Pragmatic over perfectionist&mdash;you optimize for business impact and speed to value, not theoretical elegance.</li><li>
A strong collaborator who thrives in a cross-functional team and shares knowledge generously.</li><li>
Grounded in analytical rigor&mdash;you use AI tools to go faster, not to skip the thinking.</li></ul>
Key Responsibilities
Solve Problems Across Business Using AI-Augmented Analytics<ul><li>
Develop predictive models, scoring engines, segmentation frameworks, and forecasting solutions that address real business needs&mdash;member retention, physician conversion, sales pipeline optimization, pricing analysis, and more.</li><li>
Use AI platforms and tools to dramatically accelerate the analytics lifecycle: automated feature engineering, AI-assisted EDA, model selection, and rapid prototyping that would have taken weeks using traditional approaches.</li><li>
Design analytical frameworks that translate ambiguous business questions into testable hypotheses and measurable outcomes.</li><li>
Deliver model outputs in formats the business can act on&mdash;integrated into Power BI dashboards, embedded in operational workflows, or surfaced as actionable recommendations to leadership.</li></ul>
Explore, Evaluate &amp; Adopt Emerging AI Tools and Platforms<ul><li>
Stay on the leading edge of the AI tooling landscape&mdash;continuously scouting, testing, and integrating new platforms, APIs, and workflows that make the team faster and smarter.</li><li>
Evaluate generative AI capabilities (large language models, multimodal models, AI agents) for practical application to MDVIP&rsquo;s business problems, separating genuine value from hype.</li><li>
Build proof-of-concept solutions that demonstrate the art of the possible: AI-assisted document analysis, intelligent search over unstructured data, natural language interfaces to analytics, automated quality assurance, and other use cases that expand what the Analytics team can deliver.</li><li>
Establish practical guidelines for when and how to use AI tools effectively&mdash;helping the broader team adopt these capabilities with confidence and good judgment.</li></ul>
Engineer the Data That Powers the Analysis<ul><li>
Build and maintain the data pipelines, feature tables, and curated datasets that feed your own models and the team&rsquo;s analytical work&mdash;using Databricks, SQL, and Python.</li><li>
Work across MDVIP&rsquo;s data ecosystem&mdash;Salesforce, SQL Server, Snowflake, third-party sources&mdash;to source, transform, and integrate the data needed for analysis.</li><li>
Apply data quality discipline: validation checks, anomaly detection, and documentation that ensure your analytical outputs are trustworthy.</li><li>
Think like an engineer when building analytical assets&mdash;write clean, version-controlled, reusable code that others on the team can understand and extend.</li></ul>
Collaborate, Communicate &amp; Elevate the Team<ul><li>
Partner with analysts, BI developers, data engineers, and business stakeholders to understand requirements, shape solutions, and deliver results iteratively.</li><li>
Translate complex analytical findings and model outputs into clear, compelling narratives for non-technical audiences including senior leadership.</li><li>
Share what you learn&mdash;new tools, techniques, and approaches&mdash;with the team through documentation, demos, and hands-on knowledge transfer.</li><li>
Contribute to a culture of pragmatic experimentation where the team is constantly learning, testing new approaches, and raising the bar on what Analytics delivers to the business.</li></ul>
Requirements:

Required Qualifications:<ul><li>
Bachelor&rsquo;s or master&rsquo;s degree in computer science, data science, Statistics, Applied Mathematics, or a related quantitative field.</li><li>
6+ years of professional experience in applied analytics, or a hybrid data science/engineering role.</li><li>
Demonstrated ability and genuine enthusiasm for adopting new AI tools, platforms, and workflows to improve speed and quality of analytical work.</li><li>
Strong foundation in statistical methods and machine learning techniques: regression, classification, clustering, time-series analysis, hypothesis testing, and experimental design.</li><li>
Proficiency in Python (pandas, NumPy, scikit-learn, matplotlib/seaborn) and SQL for data manipulation, analysis, and modeling.</li><li>
Hands-on experience with cloud-based analytics platforms&mdash;preferably Azure Databricks&mdash;including notebook-based development and working with large-scale data.</li><li>
Experience building data pipelines or feature engineering workflows that support model development (not just consuming pre-built datasets).</li><li>
Strong communication skills with a track record of presenting analytical work to non-technical stakeholders.</li></ul>
Preferred Qualifications:<ul><li>
Experience using generative AI tools (LLMs, AI coding assistants, AI-powered analytics platforms) as part of a professional analytics workflow&mdash;not just experimentation.</li><li>
Familiarity with PySpark and distributed computing for large-scale data transformation and feature engineering.</li><li>
Working knowledge of Salesforce data structures, CRM analytics, or marketing/sales funnel analysis.</li><li>
Exposure to Power BI or similar visualization tools from a data integration or model-output delivery perspective.</li><li>
Experience with healthcare data, HIPAA-regulated environments, or member/patient-level analytics.</li><li>
Background in NLP, text analytics, or working with unstructured data sources.</li><li>
Familiarity with Snowflake, dbt, or modern data stack tooling.</li></ul>
Why Join MDVIP?<ul><li>
Be part of a mission-driven organization leading innovation in personalized healthcare.</li><li>
Drive transformation and growth in a dynamic, fast-paced environment.</li><li>
Competitive Compensation: Attractive base salary complemented by performance-based incentives.</li><li>
Comprehensive Benefits: Health, dental, vision insurance, and retirement plans.</li><li>
Professional Development: Access to ongoing training and leadership development programs.</li><li>
Positive Work Environment: Consistently recognized as a Great Place to Work&reg;, fostering a culture of collaboration and excellence.</li></ul>
MDVIP is an Equal Opportunity Employer and is committed to fostering an inclusive and diverse workplace. We welcome applicants of all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected status. We believe that diversity and inclusion drive innovation and strengthen our company culture.
If you require accommodations during the application or interview process, please let us know, and we will be happy to assist.
Pay Transparency: Our compensation reflects the cost of labor across appropriate US geographic markets. Pay is based on several factors including but not limited to market location and may vary depending on job-related knowledge, skills, and education/training and a candidate's work experience. Hired applicants are offered annual incentive compensation programs, subject to applicable eligibility requirements. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. The company offers the following benefits for this position, subject to applicable eligibility requirements. Medical/prescription drug coverage, Dental coverage, Vision coverage, Flexible Spending Account, Health Savings Account, Dependent Care Flexible Spending Account, Basic and Supplemental Life Insurance &amp; Accidental Death and Dismemberment, Disability Income Protection Plan, Employee Assistance Program, 401(k) retirement program, Vacation, Paid Holidays and Personal time, Paid Sick and Family and Medical Leave time as required by law.</div>

Senior Analytics Engineer, Applied AI

Staffed4U

<div><h2 class="jobSectionHeader">Position Title: Software Engineer II (Data Engineering &amp; Analytics)</h2>
Job Type: Full-Time 
Location: Annapolis Junction, Maryland, United States 
Clearance Requirement: Active TS/SCI with polygraph
<h3 class="jobSectionHeader">Position Overview</h3>
The organization is seeking a Software Engineer to support the development of consistent and repeatable data capabilities that enable advanced analytics and data-driven decision-making. The selected candidate will focus on transforming raw data into high-quality, analysis-ready datasets that support predictive modeling and enterprise analytics initiatives.
This role requires close collaboration with data scientists, analysts, and engineering teams to ensure data solutions are scalable, reliable, and aligned with mission objectives.
<h3 class="jobSectionHeader">Key Responsibilities</h3>
<ul><li>Design and implement processes to transform raw data into structured, analysis-ready datasets</li>
<li>Develop scalable data pipelines and reusable data processing capabilities</li>
<li>Support advanced analytics and predictive modeling initiatives across the organization</li>
<li>Ensure data quality, consistency, and integrity across multiple data sources</li>
<li>Collaborate with cross-functional teams to support data-driven decision-making</li>
<li>Maintain and optimize data workflows and processing systems</li>
</ul><h3 class="jobSectionHeader">Minimum Qualifications</h3>
<ul><li>Active TS/SCI clearance (required at time of hire)</li>
<li>Bachelor&rsquo;s degree in Computer Science or a related discipline from an accredited college or university
<ul><li>Substitution: Seven (7) years of Software Engineering experience on projects with similar software processes may be substituted for a bachelor&rsquo;s degree</li>
</ul></li><li>Minimum of five (5) years of experience as a Software Engineer
<ul><li>Alternative: Seven (7) years of experience without a degree</li>
</ul></li></ul><h3 class="jobSectionHeader">Required Technical Skills</h3>
<ul><li>Proficiency with Linux CLI and standard Linux tools</li>
<li>Experience developing Bash scripts</li>
<li>Recent programming experience in Python</li>
<li>Familiarity with distributed big data processing engines, including Apache Spark</li>
<li>Experience using Jupyter Notebook for data exploration and analysis</li>
<li>Experience with Git-based source control systems</li>
</ul><h3 class="jobSectionHeader">Desired Qualifications</h3>
<ul><li>Experience with Apache Airflow for workflow orchestration</li>
<li>Experience with relational databases such as MySQL and PostgreSQL</li>
<li>Familiarity with high-performance computing (HPC) job scheduling tools, such as Slurm</li>
<li>Experience with Atlassian tool suite, including Jira and Confluence</li>
<li>Understanding of data pipeline orchestration, automation, and monitoring best practices</li>
</ul><h3 class="jobSectionHeader">This position is based in Annapolis Junction, MD, and requires onsite presence due to the nature of the work and security requirements.</h3>
<h3 class="jobSectionHeader">Benefits and Compensation:</h3>
Health and Insurance Coverage:
<ul><li>Comprehensive medical, dental, and vision insurance for full-time employees and eligible dependents.
</li>
<li>Employer-paid premiums for select high-quality medical plans, with additional plan options available to meet varying needs.
</li>
<li>Employer-paid dental and vision coverage.
</li>
<li>Employer-paid basic life insurance, accidental death and dismemberment (AD&amp;D), short-term disability, and long-term disability coverage.
</li>
<li>Optional supplemental insurance coverage available for employees and eligible dependents.
</li>
</ul>Retirement Benefits:
<ul><li>Employer contributions to a 401(k) retirement plan equal to 10% of salary each pay period.
</li>
<li>No employee contribution required to receive employer contributions.
</li>
<li>Immediate vesting of employer contributions upon hire.
</li>
</ul>Incentives and Bonuses:
<ul><li>Employee referral bonus program, including initial and retention incentives.
</li>
<li>Annual performance-based bonus eligibility.
</li>
</ul>Leave and Work-Life Balance:
<ul><li>Four (4) weeks of paid annual leave.
</li>
<li>Eleven (11) paid federal holidays, with flexible scheduling options where permitted.
</li>
<li>Telework opportunities based on role and contract requirements.
</li>
<li>Additional administrative leave for inclement weather or operational disruptions where telework is not feasible.
</li>
<li>Bereavement leave for immediate family members.
</li>
<li>Parental leave for birth or adoption, with potential eligibility for short-term disability benefits.
</li>
</ul>Professional Development:
<ul><li>Annual education reimbursement (up to $5,250) for accredited degree programs relevant to job responsibilities.
</li>
<li>Additional funding for professional development, including training, certifications, and industry conferences.
</li>
</ul>Equipment and Allowances:
<ul><li>Reimbursement (up to $1,000 every two years) for home office and technical equipment.
</li>
<li>Annual allowance for professional apparel and related items.
</li>
</ul>Wellness and Employee Support:
<ul><li>Monthly wellness stipend to support fitness memberships, programs, equipment, or recreational activities.
</li>
<li>Access to programs and resources supporting physical, mental, and financial well-being.
</li>
</ul>Recognition and Culture:
<ul><li>Formal employee recognition program with opportunities for awards and incentives.
</li>
<li>Participation in employee engagement initiatives, team events, and organizational activities designed to promote collaboration and workplace satisfaction.
</li>
</ul><h3 class="jobSectionHeader">Additional Information:</h3>
<ul><li>Candidates may be required to complete technical assessments as part of the selection process.</li>
</ul><h3 class="jobSectionHeader">Equal Opportunity Employer</h3>
We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.</div>

Software Engineer II (Data Engineering and Analytics)

<div><h2 class="jobSectionHeader">Cloud Software Engineer III (Data &amp; Analytics Engineering)</h2>
Job Type: Full-Time 
Location: Annapolis Junction, MD 
Clearance: Active TS/SCI with Polygraph Required
<h3 class="jobSectionHeader">Position Overview</h3>
The Cloud Software Engineer will support mission-focused data analytics initiatives by developing scalable solutions to extract meaning and value from structured and unstructured data. This role involves leveraging statistical methods and machine learning techniques to identify patterns, behaviors, and insights across diverse datasets. The engineer will collaborate with customer teams and cross-functional stakeholders to design data-driven solutions, develop ingestion and characterization strategies, and present insights through visualization tools.
<h3 class="jobSectionHeader">Key Responsibilities</h3>
<ul><li>Design and implement cloud-based data processing and analytics solutions</li>
<li>Develop strategies to extract insights from structured and unstructured data</li>
<li>Apply statistical and/or machine learning methods to identify patterns and trends</li>
<li>Build and maintain data ingestion, transformation, and enrichment pipelines</li>
<li>Develop methodologies for automated data characterization and metadata analysis</li>
<li>Utilize query and visualization tools (e.g., DataXplorer, GMAE) to present insights</li>
<li>Analyze and define requirements for new and existing data types</li>
<li>Collaborate with mission stakeholders to align technical solutions with operational needs</li>
</ul><h3 class="jobSectionHeader">Minimum Qualifications</h3>
<ul><li>Active TS/SCI with Polygraph clearance</li>
<li>Bachelor&rsquo;s degree in Computer Science or related discipline
<ul><li>Substitution: Four (4) additional years of Software Engineering experience on similar projects may be substituted for a bachelor&rsquo;s degree</li>
</ul></li><li>Eight (8) years of Software Engineering experience
<ul><li>Alternative: Twelve (12) years of experience without a degree</li>
</ul></li></ul><h3 class="jobSectionHeader">Required Technical Skills</h3>
<ul><li>Experience with scripting languages such as Python and Scala</li>
<li>Experience with big data processing frameworks (e.g., Apache Pig, MapReduce, Apache Spark)</li>
<li>Strong knowledge of structured data formats (XML, CSV, JSON)</li>
<li>Experience with data enrichment and data conversion methods</li>
<li>Familiarity with data ontologies and schema design</li>
<li>Experience working with databases and large-scale data systems</li>
<li>Cloud Developer Certification (required; will be verified during interview process)</li>
</ul><h3 class="jobSectionHeader">Desired Qualifications</h3>
<ul><li>Experience with Java and Python for analytics development</li>
<li>Familiarity with Apache NiFi for data flow automation</li>
<li>Experience with data visualization and query tools (e.g., DataXplorer, GMAE)</li>
<li>Understanding of machine learning workflows and analytical modeling</li>
<li>Experience working in cloud-based environments supporting data platforms</li>
</ul><h3 class="jobSectionHeader">Benefits and Compensation:</h3>
Health and Insurance Coverage:
<ul><li>Comprehensive medical, dental, and vision insurance for full-time employees and eligible dependents.
</li>
<li>Employer-paid premiums for select high-quality medical plans, with additional plan options available to meet varying needs.
</li>
<li>Employer-paid dental and vision coverage.
</li>
<li>Employer-paid basic life insurance, accidental death and dismemberment (AD&amp;D), short-term disability, and long-term disability coverage.
</li>
<li>Optional supplemental insurance coverage available for employees and eligible dependents.
</li>
</ul>Retirement Benefits:
<ul><li>Employer contributions to a 401(k) retirement plan equal to 10% of salary each pay period.
</li>
<li>No employee contribution required to receive employer contributions.
</li>
<li>Immediate vesting of employer contributions upon hire.
</li>
</ul>Incentives and Bonuses:
<ul><li>Employee referral bonus program, including initial and retention incentives.
</li>
<li>Annual performance-based bonus eligibility.
</li>
</ul>Leave and Work-Life Balance:
<ul><li>Four (4) weeks of paid annual leave.
</li>
<li>Eleven (11) paid federal holidays, with flexible scheduling options where permitted.
</li>
<li>Telework opportunities based on role and contract requirements.
</li>
<li>Additional administrative leave for inclement weather or operational disruptions where telework is not feasible.
</li>
<li>Bereavement leave for immediate family members.
</li>
<li>Parental leave for birth or adoption, with potential eligibility for short-term disability benefits.
</li>
</ul>Professional Development:
<ul><li>Annual education reimbursement (up to $5,250) for accredited degree programs relevant to job responsibilities.
</li>
<li>Additional funding for professional development, including training, certifications, and industry conferences.
</li>
</ul>Equipment and Allowances:
<ul><li>Reimbursement (up to $1,000 every two years) for home office and technical equipment.
</li>
<li>Annual allowance for professional apparel and related items.
</li>
</ul>Wellness and Employee Support:
<ul><li>Monthly wellness stipend to support fitness memberships, programs, equipment, or recreational activities.
</li>
<li>Access to programs and resources supporting physical, mental, and financial well-being.
</li>
</ul>Recognition and Culture:
<ul><li>Formal employee recognition program with opportunities for awards and incentives.
</li>
<li>Participation in employee engagement initiatives, team events, and organizational activities designed to promote collaboration and workplace satisfaction.
</li>
</ul><h3 class="jobSectionHeader">Additional Information:</h3>
<ul><li>Candidates may be required to complete technical assessments as part of the selection process.</li>
</ul><h3 class="jobSectionHeader">Equal Opportunity Employer</h3>
We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.</div>

Cloud Software Engineer III (Data & Analytics Engineering)

Psychiatry of Texas

About the jobWhy PsychPlus?The current delivery model for mental health care is broken in this country. PsychPlus set out ona mission to reimagine how mental health care is delivered to folks who need it. Our goal is toprovide a digital-first, modern approach to psychiatry and therapy. We provide care both in person at our offices across Texas and virtually so our patients can be seen at theirconvenience. Through a combination of exceptional medical and psychological care and best-in-class technology, we provide an unparalleled approach that serves our patients' needs in anintegrated way. Join us in our mission to ensure that every person has access to affordable andaccessible mental health care.About The RoleWe are seeking a dedicated and experienced Senior Data Analytics Engineer to join ourhealthcare-focused technology team. As a Senior Data Engineer in the healthcare industry, youwill be an integral part of developing cutting-edge data products that contribute to improvingpatient care, streamlining healthcare operations, by applying machine learning / artificialintelligence capabilities, while ensuring data security and compliance.Responsibilities<ul><li>Custom datasets and Analytics: Create tailored datasets to support Product, Operations, Clinical Teams, and other business functions. Develop and maintain automated reports, analyses, and dashboards to monitor the performance of key product features, ensuring that stakeholders have access to the most updated and reliable insights.</li><li>Data Pipelines framework: Contribute to improving our data pipelines framework to develop scalable, reliable, and maintainable data pipelines by using AWS services such as Glue, EMR, and Step Functions. Advocate for data pipeline best practices, including idempotency.</li><li>Data Quality frameworks: Detect and flag issues such as missing fields, incorrect types, or schema mismatches at the source. Develop automated tests and quality checks integrated into pipelines, covering data completeness and data consistency, both across ingestion and processing layers.</li><li>Stakeholder Support: Provide support to Sales and Clinical teams, by delivering internal data product and business KPIs. This includes the development of automated reporting systems to ensure seamless access to critical metrics. Work closely with Product teams, ideally as an embedded member, to ensure a data-driven approach is integrated into every aspect of product development and strategy.</li></ul>As a secondary responsibility, you may also contribute to the following ongoing workstreamlines:<ul><li>ML &amp; AI pipelines: Contribute to building machine learning pipelines in Python,</li></ul>collaborating closely with AI Scientists and AI Engineers.<ul><li>Define Analytics Tracking: Lead the definition and implementation of analytics tracking for in-app events, particularly when new features are developed, such as new pages and buttons.</li></ul>Requirements<ul><li>Fluent in English</li><li>Data Engineering experience: 6+ years of experience as a Data Engineer, creating modular, version-controlled, and testable pipelines, with 2+ years working with AWS services for data pipelines. Nice-to-have: experience with Microsoft Fabric.</li><li>Data modelling experience: solid understanding of data modelling and best practices, and some experience implementing data modelling in silver layer from scratch.</li><li>BI &amp; Dashboarding: 2+ experience building dashboards with a BI tool, such as Superset, Tableau, Metabase, PowerBI.</li><li>Programming Skills: Highly proficient in Python, specially PySpark, and in SQL (advanced querying, and optimization). Nice-to-have: Scala.</li><li>(Nice-to-have) Product Analytics: Experience with in-app analytics tracking, A/B testing methodologies, and frameworks to assess the impact of product changes.</li><li>(Nice-to-have) Experience working in environment with strict data security requirements, ideally under HIPPA compliance and/or GDPR.</li></ul>Soft Skills<ul><li>Communication: You can communicate clearly about technical decisions, considering pros and cons, and making them clear to your audience. You are also a good listener and can ask questions to understand the context.'</li><li>Growth mindset: You love debugging data pipeline issues, advocating for data quality, as much as for continuously improving code quality. You see a bug or an error as an opportunity to learn and improve our processes, pipelines and products.</li><li>Team Player: Strong collaborator, open to learning beyond their comfort zone, and dedicated to mentoring team members to enhance coding skills and best practices</li></ul>Pay: Rs1,800.00 - Rs2,400.00 per monthWork Location: Remote

Senior Data Analytics Engineer

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