Explore 5 python data engineer jobs from 2 hiring companies in Chickasaw, AL, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Data Engineer

Prichard

Mobile

Saraland

Tillmans Corner

Daphne

Satsuma

Fairhope

Spanish Fort

Bay Minette

Foley

Pascagoula

Moss Point

Theodore

Gautier

Cantonment

Semmes

Bellview

Gonzalez

Gulf Shores

Python Data Engineer Jobs

Susquehanna International Group

Bowhead

Onsite

Hybrid

Overview:
DATA ENGINEER (CESAM): Bowhead seeks a Data Engineer to join our team in Mobile, AL. The Data Engineer will not only build scalable data pipelines, but also help operate and secure our cloud environment. This role blends data engineering, cloud platform administration, and cyber compliance to ensure our data platforms are reliable, auditable, and compliant with federal security standards.

Responsibilities:
<h2>Data Engineering</h2><ul><li style="margin: 3.0pt 0in 3.0pt .5in;">Design, build, and maintain ETL/ELT pipelines for batch and streaming workloads.</li><li style="margin: 3.0pt 0in 3.0pt .5in;">Develop data processing and automation solutions in Python.</li><li style="margin: 3.0pt 0in 3.0pt .5in;">Write and optimize SQL for transformations, data modeling, and performance tuning.</li><li style="margin: 3.0pt 0in 3.0pt .5in;">Build and manage real-time data ingestion using message brokers and stream processing frameworks.</li><li style="margin: 3.0pt 0in 3.0pt .5in;">Inventory and catalog data assets — tracking lineage, classification, and ownership to support governance and compliance.</li><li style="margin: 3.0pt 0in 3.0pt .5in;">Troubleshoot data quality, pipeline, and performance issues across the platform.</li></ul><h2>Platform Operations</h2><ul><li style="margin: 3.0pt 0in 3.0pt .5in;">Administer and support cloud resources including identity, networking, storage, and compute.</li><li style="margin: 3.0pt 0in 3.0pt .5in;">Implement and maintain CI/CD pipelines for data workloads and infrastructure deployments.</li><li style="margin: 3.0pt 0in 3.0pt .5in;">Configure and manage infrastructure using IaC and GitOps practices.</li><li style="margin: 3.0pt 0in 3.0pt .5in;">Containerize and deploy workloads using Docker and Kubernetes.</li><li style="margin: 3.0pt 0in 3.0pt .5in;">Monitor system health, performance, and reliability; respond to incidents and outages.</li><li style="margin: 3.0pt 0in 3.0pt .5in;">Automate workflows across data pipelines, infrastructure provisioning, and operational processes.</li><li style="margin: 3.0pt 0in 3.0pt .5in;">Manage access controls, backups, logging, patching, and environment hardening.</li></ul><h2>Cyber Compliance</h2><ul><li style="margin: 3.0pt 0in 3.0pt .5in;">Implement and maintain security controls including logging, encryption, IAM, and configuration baselines aligned to NIST 800-53.</li><li style="margin: 3.0pt 0in 3.0pt .5in;">Support FedRAMP/FISMA compliance activities including control implementation, evidence collection, POA&M tracking, and audit preparation.</li><li style="margin: 3.0pt 0in 3.0pt .5in;">Work with security and governance teams to ensure environments meet required federal standards.</li><li style="margin: 3.0pt 0in 3.0pt .5in;">Assist with vulnerability management, remediation, and security documentation.</li></ul>

Qualifications:
<ul><li style="margin: 3.0pt 0in 3.0pt .5in;">Proficiency in Python for data processing and automation.</li><li style="margin: 3.0pt 0in 3.0pt .5in;">Strong SQL skills across relational and non-relational databases.</li><li style="margin: 3.0pt 0in 3.0pt .5in;">Experience with distributed data processing frameworks (e.g., Spark) including streaming workloads.</li><li style="margin: 3.0pt 0in 3.0pt .5in;">Familiarity with message brokers and event-driven ingestion patterns.</li><li style="margin: 3.0pt 0in 3.0pt .5in;">Experience with data cataloging and inventory for governance and compliance.</li><li style="margin: 3.0pt 0in 3.0pt .5in;">Production cloud experience (Azure preferred).</li><li style="margin: 3.0pt 0in 3.0pt .5in;">Experience with Docker, Kubernetes, CI/CD pipelines, and IaC/GitOps practices.</li><li style="margin: 3.0pt 0in 3.0pt .5in;">Ability to design scalable solutions and troubleshoot complex data and system issues.</li><li style="margin: 3.0pt 0in 3.0pt .5in;">Experience supporting security and compliance in cloud environments — controls implementation, logging, IAM, encryption, and audit support aligned to NIST 800-53 or equivalent frameworks.</li><li style="margin: 3.0pt 0in 3.0pt .5in;">8140 qualifications</li></ul><h2>Nice to Have</h2><ul><li style="margin: 3.0pt 0in 3.0pt .5in;">Experience with Databricks, Delta Lake, or lakehouse architectures.</li><li style="margin: 3.0pt 0in 3.0pt .5in;">Familiarity with cloud-native governance and security tooling.</li><li style="margin: 3.0pt 0in 3.0pt .5in;">Experience with Terraform, Bicep, or similar IaC tools.</li><li style="margin: 3.0pt 0in 3.0pt .5in;">Prior experience supporting FedRAMP or FISMA authorization processes.</li><li style="margin: 3.0pt 0in 3.0pt .5in;">Experience with agentic coding tools and AI-assisted development workflows.</li><li style="margin: 3.0pt 0in 3.0pt .5in;">Experience with Navigation data and GIS.</li></ul><h2>Tech Stack</h2>Python · SQL · Spark (batch & streaming) · Message Brokers · Docker · Kubernetes · CI/CD · IaC/GitOps · Cloud Platforms (Azure preferred) · Data Lakehouse · NIST 800-53 / FedRAMP Physical Demands:<ul><li>Must be able to lift up to 25 pounds</li><li>Must be able to stand and walk for prolonged amounts of time</li><li>Must be able to twist, bend and squat periodically</li></ul>SECURITY CLEARANCE REQUIRED: Must be able to obtain a security clearance at the Public Trust level. US Citizenship is a requirement for Secret clearance at this location.  #LI-KC1

Data Engineer

Proficiency in Python for data processing, strong SQL skills, experience with distributed data processing and cloud operations.

Overview:
Cloud BA/ Database Developer (CESAM): Bowhead seeks a Cloud BA/ Database Developer who will serve as a technical specialist responsible for supporting databases and cloud-based data environments. Performs administration, development, maintenance, and optimization activities to ensure systems are secure, reliable, and efficient. Supports data management, documentation, compliance, and continuity of operations across assigned platforms and services. Applies technical expertise to improve system performance and support organizational and mission requirements. This position is Hybrid: two days in Mobile, 3 days telework 

Responsibilities:
<ul><li>Monitor database performance, identify bottlenecks, and implement tuning strategies to improve reliability and efficiency.</li><li>Perform database administration activities, including backups, restoration procedures, disaster recovery planning, and migrations.</li><li>Manage and maintain cloud databases ensuring high availability, security, and compliance with DISA STIG requirements.</li><li>Design, develop, and maintain robust data models that support application and business requirements while ensuring scalability and performance.</li><li>Support database development activities, including query optimization and performance improvement.</li><li>Apply strong SQL skills across relational and non-relational database platforms.</li><li>Support security and compliance activities, including STIG implementation and remediation.</li><li>Inventory and catalog data assets to support data governance, accountability, and compliance requirements.</li><li>Configure, maintain, assist in the design of, and test disaster recovery plans with defined RTO/RPO objectives across all supported platforms.</li><li>Develop and maintain technical documentation related to database environments, configurations, processes, and procedures.</li><li>Production cloud database experience required, with Azure preferred.</li></ul>

Qualifications:
<ul><li>BA/S in relevant technical field preferred. Years of experience may substitute in education requirement. </li><li>Five (5+) years of relevant technical experience.</li><li>Proficiency in Python for data processing and automation.</li><li>Strong SQL skills across relational and non-relational databases and/or Database Administrator, including expertise in stored procedures and performance tuning.</li><li>Experience with distributed data processing frameworks (e.g., Spark) including streaming workloads.</li><li>Familiarity with message brokers and event-driven ingestion patterns.</li><li>Experience with data cataloging and inventory for governance and compliance.</li><li>Production cloud experience (Azure preferred).</li><li>Experience with Docker, Kubernetes, CI/CD pipelines, and IaC/GitOps practices.</li><li>Ability to design scalable solutions and troubleshoot complex data and system issues.</li><li>Experience supporting security and compliance in cloud environments — controls implementation, logging, IAM, encryption, and audit support aligned to NIST 800-53 or equivalent frameworks.</li><li>8140 qualifications</li><li>Strong knowledge of database management and compliance</li><li>Strong problem-solving skills and attention to detail.</li><li>Excellent communication and collaboration skills in an Agile development environment.</li><li>bility to manage multiple tasks and projects simultaneously while meeting deadlines and maintaining quality.</li></ul><h2>Tech Stack</h2>Python · SQL · Spark (batch & streaming) · Message Brokers · Docker · Kubernetes · CI/CD · IaC/GitOps · Cloud Platforms (Azure preferred) · Data Lakehouse · NIST 800-53 / FedRAMP Physical Demands:<ul><li>Must be able to lift up to 25 pounds</li><li>Must be able to stand and walk for prolonged amounts of time</li><li>Must be able to twist, bend and squat periodically</li></ul>SECURITY CLEARANCE REQUIRED: Must be able to obtain a security clearance at the Public Trust level. US Citizenship is a requirement for Secret clearance at this location.  #LI-GC1

Cloud BA/ Database Developer

Five+ years of relevant technical experience; Python, SQL, Spark; Azure; Docker/Kubernetes; security/compliance; data governance; production cloud experience.

Overview The Quant Core Data team is looking for an engineer with significant Python experience who has a deep appreciation for performance and scalability to help build data flows used globally by our Quant Researchers & Strategists.  In this role, you will: <ul style="margin-top: 0in;"><li style="color: black; margin-bottom: 0in;">Design, develop, and scale our data framework with an eye for efficiency and robustness</li><li style="color: black; margin-bottom: 0in;">Build packages used exclusively by expert users to evolve our signal generation technology</li><li style="color: black; margin-bottom: 0in;">Have greenfield development opportunities to optimize existing tooling from scratch</li></ul> What We're Looking For <ul style="margin-top: 0in;"><li style="color: black; margin-bottom: 0in;">At least 3+ years of experience in Python or C++, developing software with strict performance requirements</li><li style="color: black; margin-bottom: 0in;">A deep appreciation for performance and benchmarking, including experience in large scale computing problems and performance trade-offs</li><li style="color: black; margin-bottom: 0in;">Strong systems fundamentals (virtual memory, numa, io, networking, etc.)</li><li style="color: black; margin-bottom: 0in;">Deep Linux knowledge </li><li style="color: black; margin-bottom: 0in;">Experience in Python data analysis and/or low level Python</li><li style="color: black; margin-bottom: 0in;">Strong understanding of data structures and algorithms</li><li style="margin-bottom: 0in;">Enthusiasm for working with data, especially large sets of data; good aesthetics for cleanliness and correctness in data</li><li style="color: black; margin-bottom: 0in;">Bachelor’s degree in Computer Science, Engineering, Mathematics or related discipline or its foreign equivalent; advanced degree is preferred</li></ul> About SusquehannaSusquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together. What we do We are experts in trading essentially all listed financial products and asset classes, with a focus on derivatives trading. Through market making and market taking, we handle millions of trading transactions around the world every day, providing liquidity and ensuring competitive prices for buyers and sellers. While our presence in the market is broad, our trading desks are highly specialized, allowing for a deep understanding of unique drivers of each asset class.  If you're a recruiting agency and want to partner with us, please reach out to <a href="mailto:recruiting@sig.com" target="_blank" rel="noopener">recruiting@sig.com</a>. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee. #LI-DT1#LI-Onsite

Quantitative Developer | Core Data Sets | Experienced Hire

Quantitative Developer

3+ years in Python or C++, performance-focused software development; strong systems, Linux, data analysis; bachelor's in CS/Engineering/Math, advanced degree preferred.

Overview  We’re looking for a versatile Machine Learning Engineer to help build and optimize the core infrastructure that supports our AI research. This role involves working across the stack—from data processing and training efficiency to low-level GPU programming and performance tooling. You'll contribute to systems that are reliable, scalable, and tuned for high performance, while enabling researchers to better understand and improve their models. Ideal candidates are comfortable navigating complex systems, enjoy working across domains, and bring a strong engineering mindset paired with an interest in supporting innovative machine learning efforts. What You’ll Do<ul><li>Design and implement high-performance data pipelines for processing large-scale datasets with an emphasis on reliability and reproducibility</li><li>Apply the latest techniques to our internal training runs to achieve impressive hardware efficiency for our training runs</li><li>Implement custom GPU kernels</li><li>Create observability and benchmarking tools to help researchers understand the performance of their models/training runs</li><li>Build and maintain secure sandboxed execution environments</li></ul> What We're Looking For <ul><li>Experience with data pipeline development and ETL processes</li><li>Possess strong systems programming skills and understand performance optimization</li><li>Strong software engineering skills in Python</li><li>Experience writing and optimizing custom GPU kernels</li><li>Have contributed to observability, benchmarking, or performance-focused infrastructure at scale</li><li>Familiarity of AI/ML workloads</li><li>Comfortable working in ambiguous, fast-evolving environments and collaborating across disciplines</li></ul> Why Join Us? Susquehanna is a global quantitative trading firm that combines deep research, cutting-edge technology, and a collaborative culture. We build most of our systems from the ground up, and innovation is at the core of everything we do. As a Machine Learning Engineer, you’ll play a critical role in shaping the future of AI at Susquehanna — enabling research at scale, accelerating experimentation, and helping unlock new opportunities across the firm. If you're a recruiting agency and want to partner with us, please reach out to <a href="mailto:recruiting@sig.com" target="_blank" rel="noopener">recruiting@sig.com</a>. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee. #LI-Onsite

Machine Learning Engineer | Experienced Hire

Machine Learning Engineer

Experience with data pipelines, ETL, systems programming, Python, GPU kernels, observability, and ML workloads.

Overview Susquehanna is looking for highly motivated full-time students for our 10-week quantitative strategy development summer internship program. This is a computationally intensive role that will allow you to use your strong technical skills to solve problems at the intersection of trading, quant and technology. Throughout the summer, you will receive education about how markets work by going through a deep dive into financial markets and Susquehanna’s approach to trading. You will also work on challenging projects for our trading strategy development teams in spaces such as signal creation and detection, quantitative strategy analysis, and low latency C++ strategy development. Additionally, you’ll have the opportunity to work on projects side by side with senior developers who understand the nuances of building complex trading strategies. If your experience is a better fit for our 2027 Trading System Engineering Internship, apply here: <a href="https://careers.sig.com/job/10837/Trading-System-Engineering-Internship-Summer-2027" target="_blank" rel="noopener">https://careers.sig.com/job/10837/Trading-System-Engineering-Internship-Summer-2027</a> What We're Looking For <ul><li>Enrolled in a bachelor's or master's program in computer science, computer engineering, mathematics, or closely related STEM discipline</li><li>Intention to graduate with a minimum of a bachelor’s degree and begin full time employment by August 2028</li><li>Strong software development skills in Python and a compiled language</li><li>Experience and comfort working with data using libraries such as Pandas, Polars, or NumPy</li><li>Exceptional quantitative, logical reasoning, and analytical skills</li><li>Visa sponsorship is available for this position</li></ul> What's in it for you:<ul><li>Our non-hierarchical culture allows employees of every level to thrive and make impact. We are not your typical trading firm – the environment is casual, collaborative and we focus on continuous development.</li><li>Housing provided for duration of internship</li><li>Relaxed dress code: jeans and sneakers are the norm, shorts all summer long</li><li>Fully stocked kitchens for breakfast, lunch, snacks, and beverages</li><li>A forty thousand square-foot state of the art fitness facility with brand-new equipment, multi-purpose courts, group exercise classes, and locker room spaces</li><li>Discounts for dining, entertainment, shopping, travel, and attractions</li><li>Social events including a poker tournament, dinners, and sporting events in Philadelphia</li><li>On-site Wellness Center</li><li>On-site services such as a mailroom, barber, dry cleaning, and car maintenance</li><li>Opportunities to give back to the community through Susquehanna sponsored events and donation drives</li></ul>If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

Quantitative Strategy Developer Internship: Summer 2027

Quantitative Strategy Developer Internship

Enrolled in bachelor’s or master’s in CS/CE/math; graduate by Aug 2028; strong Python and compiled language skills; data analysis with Pandas/Polars/NumPy; quantitative, analytical skills; visa sponsorship available.

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